*------------------------------------------- AUTHOR_DETAILS -------------------------------------------------------*
| |
| Project Title = Developing a Pneumonia Disease Prediction System (from X-ray Images) | | using CNN-based Deep Neural Networks | | |
| |
| Author = Ms. Fatima Zulfiqar & Mr. Rehan Raza |
| |
| Copyright = Copyright (C) 2020 Ms. Fatima Zulfiqar |
| |
| License = Public Domain |
| |
| Version = 1.0 |
| |
*------------------------------------------------------------------------------------------------------------------*
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import seaborn as sns
import keras
import pandas as pd
import numpy as np
from keras.models import Model, Sequential,load_model
from keras.layers import Dense, Conv2D , MaxPool2D , Flatten , Dropout , BatchNormalization
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import Adam, RMSprop,SGD
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report,confusion_matrix,accuracy_score
import cv2
import os
import itertools
# Mount Your Google Drive with Google Colab
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
'''
/*----------------------------- LOAD_DATASET ----------------
| Function : load_dataset()
| Purpose : Reads Dataset(X-ray Images) in .jpeg file format
| Arguments :
| dataset_dir : Path to dataset file
|
| Return :
| dataset : Dataset in dataframe format
*------------------------------------------------------------*/
'''
labels = ['normal', 'pneumonia']
def load_dataset(dataset_dir):
dataset = []
for label in labels:
path = os.path.join(dataset_dir, label)
classes = labels.index(label)
for data in os.listdir(path):
try:
image_array = cv2.imread(os.path.join(path, data))
dataset.append([image_array, classes])
except Exception as e:
print(e)
return dataset
training_data = load_dataset('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Training_Data')
testing_data = load_dataset('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Testing_Data')
validation_data = load_dataset('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Validation_Data')
normal=0
pneumonia = 0
print("Main Characteristics of Training Data")
print ("=====================================\n")
print("Total Instances (X-ray Images) = ",len(training_data))
for images in training_data:
if(images[1] == 0):
normal = normal+1
else:
pneumonia = pneumonia+1
print("Total Instances (X-ray Images) With Disease = ",pneumonia)
print("Total Instances (X-ray Images) Without Disease = ",normal)
Main Characteristics of Training Data ===================================== Total Instances (X-ray Images) = 72 Total Instances (X-ray Images) With Disease = 36 Total Instances (X-ray Images) Without Disease = 36
normal=0
pneumonia = 0
print("Main Characteristics of Testing Data")
print ("===================================\n")
print("Total Instances (X-ray Images) = ",len(testing_data))
for images in testing_data:
if(images[1] == 0):
normal = normal+1
else:
pneumonia = pneumonia+1
print("Total Instances (X-ray Images) With Disease = ",pneumonia)
print("Total Instances (X-ray Images) Without Disease = ",normal)
Main Characteristics of Testing Data =================================== Total Instances (X-ray Images) = 20 Total Instances (X-ray Images) With Disease = 10 Total Instances (X-ray Images) Without Disease = 10
normal=0
pneumonia = 0
print("Main Characteristics of Validation Data")
print ("=======================================\n")
print("Total Instances (X-ray Images) = ",len(validation_data))
for images in validation_data:
if(images[1] == 0):
normal = normal+1
else:
pneumonia = pneumonia+1
print("Total Instances (X-ray Images) With Disease = ",pneumonia)
print("Total Instances (X-ray Images) Without Disease = ",normal)
Main Characteristics of Validation Data ======================================= Total Instances (X-ray Images) = 8 Total Instances (X-ray Images) With Disease = 4 Total Instances (X-ray Images) Without Disease = 4
'''
/*----------------------------- DISPLAY_IMAGE ----------------
| Function : display_image()
| Purpose : To Display X-Ray Images
| Arguments :
| original_image : Path to dataset file
|
| Return :
| dataset : Dataset in dataframe format
*------------------------------------------------------------*/
'''
def display_image(original_image, preprocessed_image, title1 , title2 ):
#i=0
plt.rcParams.update({'figure.max_open_warning': 0})
plt.figure(figsize=(5,5))
plt.subplot(1,2,1)
plt.imshow(original_image, cmap='gray')
plt.tick_params(axis='both', which='both', top=False, bottom=False, left=False, right=False, labelbottom=False, labeltop=False, labelleft=False, labelright=False)
plt.title(title1)
plt.figure(figsize=(5,5))
plt.subplot(1,2,2)
plt.imshow(preprocessed_image, cmap='gray')
plt.tick_params(axis='both', which='both', top=False, bottom=False, left=False, right=False, labelbottom=False, labeltop=False, labelleft=False, labelright=False)
plt.title(title2)
'''
/*----------------------------- DATA_RESIZING -------------------------
| Function : resize()
|
| Purpose : Resize Resolution of Original Image into Desired Resolution:
| Arguments :
| original_image: Original Image to be Resized
| Return :
| resized_image: Resized Image
*---------------------------------------------------------------=-----*/
'''
def resize(dataset_dir,width,height):
image_dimension=(width,height)
#i=1
labels = ['normal', 'pneumonia']
resized_image = []
for label in labels:
path = os.path.join(dataset_dir, label)
classes = labels.index(label)
for image in os.listdir(path):
original_image = cv2.imread(os.path.join(path, image))
resized_array = cv2.resize(original_image, image_dimension) # Reshaping images to preferred size
#cv2.imwrite("/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Preprocessed Data/Resized_Validation_Data/image%04i.jpg"%i,resized_array)
resized_image.append([resized_array, classes])
#i=i+1
return np.array(resized_image) # Convert Image into numpy array form
image_width = 224
image_height = 224
resized_training_data = resize('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Training_Data',image_width,image_height)
print("Resize X-ray Images in Training Data")
print("=====================================")
for i in range(len(training_data)):
if i<36:
display_image(training_data[i][0],resized_training_data[i][0],'Original Image: (Normal)',"Resized Image: (Normal")
else:
display_image(training_data[i][0],resized_training_data[i][0],'Original Image: (Pneumonia)',"Resized Image: (Pneumonia)")
Resize X-ray Images in Training Data =====================================
'''
/*----------------------------- RGB to GRAY -------------------------
| Function : to_grayscale()
|
| Purpose : Convert Images in RGB into Grayscale Images
| Arguments :
| resized_image: Resized Image
| Return :
| grayscale_image: Converted Image into Grayscale
*---------------------------------------------------------------=-----*/
'''
def to_grayscale(resized_image):
image_dimension=(224,224)
#i=1
labels = ['normal', 'pneumonia']
grayscale_image = []
for label in labels:
path = os.path.join(resized_image, label)
classes = labels.index(label)
for image in os.listdir(path):
original_image = cv2.imread(os.path.join(path, image))
resized_array = cv2.resize(original_image, image_dimension)
grayscale_array = cv2.cvtColor(resized_array,cv2.COLOR_RGB2GRAY)
#cv2.imwrite("/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Preprocessed Data/Grayscale_Validation_Data/image%04i.jpg"%i,grayscale_array)
grayscale_image.append([grayscale_array, classes])
#i=i+1
return np.array(grayscale_image)
grayscale_training_data = to_grayscale('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Training_Data')
print("Transform X-ray Images from RGB to GrayScale in Training Data")
print("==============================================================")
for i in range(len(training_data)):
if i<36:
display_image(resized_training_data[i][0],grayscale_training_data[i][0],'Resized RGB Image: (Normal)',"Grayscale Image (Normal)")
else:
display_image(resized_training_data[i][0],grayscale_training_data[i][0],'Resized RGB Image: (Pneumonia)',"Grayscale Image: (Pneumonia)")
Transform X-ray Images from RGB to GrayScale in Training Data ==============================================================
resized_testing_data = resize('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Testing_Data',image_width,image_height)
print("Resize X-ray Images in Testing Data")
print("====================================")
for i in range(len(testing_data)):
if i<10:
display_image(testing_data[i][0],resized_testing_data[i][0],'Original Image: (Normal)',"Resized Image: (Normal)")
else:
display_image(testing_data[i][0],resized_testing_data[i][0],'Original Image: (Pneumonia)',"Resized Image: (Pneumonia)")
Resize X-ray Images in Testing Data ====================================
grayscale_testing_data = to_grayscale('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Testing_Data')
print("Transform X-ray Images from RGB to GrayScale in Testing Data")
print("==============================================================")
for i in range(len(testing_data)):
if i<10:
display_image(resized_testing_data[i][0],grayscale_testing_data[i][0],'Resized RGB Image: (Normal)',"Grayscale Image (Normal)")
else:
display_image(resized_testing_data[i][0],grayscale_testing_data[i][0],'Resized RGB Image: (Pneumonia)',"Grayscale Image: (Pneumonia)")
Transform X-ray Images from RGB to GrayScale in Testing Data ==============================================================
resized_validation_data = resize('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Validation_Data',image_width,image_height)
print("Resize X-ray Images in Validation Data")
print("=======================================")
for i in range(len(validation_data)):
if i<4:
display_image(validation_data[i][0],resized_validation_data[i][0],'Original Image: (Normal)',"Resized Image: (Normal)")
else:
display_image(validation_data[i][0],resized_validation_data[i][0],'Original Image: (Pneumonia)',"Resized Image: (Pneumonia)")
Resize X-ray Images in Validation Data =======================================
grayscale_validation_data = to_grayscale('/content/drive/MyDrive/Binary Class Pneumonia Classification/Sample Data/Validation_Data')
print("Transform X-ray Images from RGB to GrayScale in Validation Data")
print("================================================================")
for i in range(len(validation_data)):
if i<4:
display_image(resized_validation_data[i][0],grayscale_validation_data[i][0],'Resized RGB Image: (Normal)',"Grayscale Image (Normal)")
else:
display_image(resized_validation_data[i][0],grayscale_validation_data[i][0],'Resized RGB Image: (Pneumonia)',"Grayscale Image: (Pneumonia)")
Transform X-ray Images from RGB to GrayScale in Validation Data ================================================================
def display(image,title):
plt.figure(figsize=(5,5))
plt.imshow(image, cmap='gray')
plt.title(title)
training_data_array = np.asarray(grayscale_training_data)
print("Grayscale X-ray Image of Training Data")
print("=======================================")
print("Grayscale X-ray Image of Training Data into Numpy Array Form")
print("==============================================================")
for i in range(len(training_data)):
display(grayscale_training_data[i][0],"Grayscale Image")
print("Instance: ",i)
print("============ \n")
print(training_data_array[i][0])
i=i+1
Grayscale X-ray Image of Training Data ======================================= Grayscale X-ray Image of Training Data into Numpy Array Form ============================================================== Instance: 0 ============ [[141 3 3 ... 17 5 0] [ 1 1 124 ... 15 4 0] [222 3 2 ... 15 1 0] ... [ 3 3 3 ... 0 0 3] [ 3 3 3 ... 0 1 3] [ 9 3 3 ... 0 2 3]] Instance: 1 ============ [[ 74 1 161 ... 71 75 79] [ 3 0 1 ... 74 68 98] [ 33 3 0 ... 76 83 114] ... [ 0 0 0 ... 0 0 0] [ 2 0 0 ... 0 0 0] [ 2 0 0 ... 0 0 0]] Instance: 2 ============ [[65 76 78 ... 60 60 55] [64 71 76 ... 59 57 54] [64 73 76 ... 59 53 50] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 3 ============ [[ 94 94 90 ... 45 38 31] [125 92 95 ... 39 32 25] [138 124 94 ... 37 30 24] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 4 ============ [[41 49 55 ... 43 42 35] [39 49 57 ... 41 39 28] [36 44 59 ... 48 37 30] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 5 ============ [[ 0 0 0 ... 38 36 31] [ 0 0 0 ... 36 35 36] [ 0 0 0 ... 41 33 35] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 6 ============ [[ 0 0 0 ... 33 36 41] [ 0 0 0 ... 35 41 42] [ 0 0 0 ... 34 38 43] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 7 ============ [[ 4 1 4 ... 30 27 14] [106 3 1 ... 24 14 5] [ 37 2 1 ... 17 5 3] ... [ 0 0 0 ... 0 0 0] [ 2 3 0 ... 0 0 0] [ 2 1 0 ... 0 0 0]] Instance: 8 ============ [[132 156 143 ... 0 0 0] [103 140 156 ... 0 0 0] [ 93 108 147 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 9 ============ [[ 0 0 0 ... 37 29 23] [ 0 0 0 ... 38 30 19] [ 0 0 0 ... 35 28 22] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 10 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 11 ============ [[145 2 2 ... 42 53 30] [ 3 1 86 ... 41 32 16] [199 0 2 ... 34 27 16] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 4 0 0 ... 0 0 0]] Instance: 12 ============ [[104 0 11 ... 3 1 0] [ 1 0 6 ... 3 0 0] [ 9 0 8 ... 2 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 4 0 0 ... 0 0 0]] Instance: 13 ============ [[47 49 50 ... 0 0 0] [48 50 54 ... 0 0 0] [47 49 51 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 14 ============ [[ 86 95 104 ... 87 82 76] [ 88 95 100 ... 88 79 75] [ 88 96 103 ... 85 79 70] ... [ 1 0 0 ... 0 0 0] [ 1 0 0 ... 0 0 0] [ 1 0 0 ... 0 0 0]] Instance: 15 ============ [[111 1 202 ... 0 0 0] [ 2 1 1 ... 0 0 0] [157 0 3 ... 0 0 0] ... [ 4 0 0 ... 0 0 0] [ 2 0 0 ... 0 0 0] [ 3 0 0 ... 0 0 0]] Instance: 16 ============ [[145 1 57 ... 13 16 16] [ 2 1 9 ... 9 15 13] [ 22 1 57 ... 13 8 10] ... [199 223 205 ... 46 44 56] [213 182 224 ... 52 49 55] [200 220 196 ... 49 37 59]] Instance: 17 ============ [[ 87 82 103 ... 90 92 109] [ 86 85 88 ... 90 89 127] [ 91 85 92 ... 90 91 148] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 18 ============ [[37 43 48 ... 35 28 20] [35 43 38 ... 34 24 20] [39 41 41 ... 31 27 18] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 19 ============ [[107 1 210 ... 199 206 203] [ 2 1 3 ... 194 200 195] [ 89 2 1 ... 201 200 198] ... [ 55 97 112 ... 28 28 28] [ 63 76 94 ... 28 28 28] [127 68 77 ... 28 28 28]] Instance: 20 ============ [[ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] ... [33 53 60 ... 0 3 4] [32 48 59 ... 2 3 6] [31 46 59 ... 2 4 5]] Instance: 21 ============ [[18 18 14 ... 0 0 0] [17 21 15 ... 0 0 0] [14 22 14 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 22 ============ [[ 43 50 56 ... 82 3 77] [ 41 48 55 ... 0 2 122] [ 37 44 52 ... 148 2 73] ... [ 41 36 36 ... 33 31 38] [ 43 37 33 ... 33 31 31] [ 35 28 25 ... 26 24 69]]
/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). This is separate from the ipykernel package so we can avoid doing imports until
Instance: 23 ============ [[ 0 0 0 ... 34 42 39] [ 0 0 0 ... 35 39 38] [ 0 0 0 ... 38 35 36] ... [ 0 0 0 ... 0 0 0] [ 6 0 0 ... 0 0 0] [ 6 0 0 ... 0 0 1]] Instance: 24 ============ [[110 1 79 ... 12 12 11] [ 6 1 3 ... 14 10 8] [ 1 2 3 ... 13 10 10] ... [ 0 0 0 ... 19 17 9] [ 2 1 0 ... 13 17 10] [ 1 1 0 ... 12 5 2]] Instance: 25 ============ [[ 73 88 97 ... 164 102 99] [ 81 93 93 ... 157 101 101] [ 78 89 96 ... 156 94 93] ... [ 0 0 0 ... 0 1 1] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 26 ============ [[112 0 136 ... 72 75 79] [ 4 0 2 ... 72 75 77] [ 5 0 2 ... 70 72 78] ... [ 48 49 41 ... 48 45 42] [ 61 49 45 ... 44 52 30] [ 43 47 36 ... 39 40 38]] Instance: 27 ============ [[152 132 137 ... 118 126 124] [148 130 142 ... 124 130 134] [139 139 142 ... 123 126 123] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 28 ============ [[35 1 3 ... 30 31 31] [78 4 2 ... 31 32 28] [44 1 1 ... 31 33 30] ... [26 24 26 ... 10 10 11] [21 24 20 ... 9 7 10] [19 19 20 ... 9 13 87]] Instance: 29 ============ [[ 38 40 46 ... 52 74 103] [ 40 39 43 ... 54 73 105] [ 37 39 43 ... 51 70 104] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 30 ============ [[255 255 255 ... 60 51 34] [222 222 231 ... 54 47 29] [ 78 86 97 ... 53 44 26] ... [ 0 0 0 ... 1 1 1] [ 0 0 0 ... 1 2 2] [ 0 0 0 ... 1 2 2]] Instance: 31 ============ [[157 1 88 ... 68 73 74] [ 3 2 13 ... 71 70 80] [107 5 213 ... 75 78 80] ... [ 16 32 33 ... 36 33 26] [ 23 20 29 ... 35 26 28] [ 23 19 22 ... 26 32 28]] Instance: 32 ============ [[36 44 54 ... 73 74 87] [34 48 56 ... 66 71 83] [37 43 55 ... 68 67 85] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 33 ============ [[41 40 41 ... 43 35 36] [37 37 39 ... 38 32 34] [41 41 43 ... 38 35 33] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 34 ============ [[87 1 25 ... 0 0 1] [ 2 0 1 ... 0 0 2] [ 1 0 0 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 2 0 0 ... 0 0 2] [ 1 0 0 ... 0 0 1]] Instance: 35 ============ [[ 0 0 0 ... 53 54 54] [ 0 0 0 ... 60 53 51] [ 0 0 0 ... 59 51 46] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 36 ============ [[31 31 32 ... 14 16 24] [31 32 30 ... 15 21 26] [33 35 36 ... 19 25 34] ... [12 12 12 ... 14 13 13] [12 12 12 ... 14 12 13] [12 12 12 ... 12 12 13]] Instance: 37 ============ [[48 50 57 ... 70 77 75] [50 50 51 ... 75 82 84] [50 49 56 ... 86 86 87] ... [11 13 13 ... 8 0 0] [10 11 11 ... 11 0 0] [ 8 11 12 ... 9 1 5]] Instance: 38 ============ [[ 0 0 254 ... 0 0 0] [ 0 0 254 ... 0 0 0] [ 0 0 254 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 39 ============ [[ 2 2 2 ... 37 34 32] [ 2 2 2 ... 34 33 31] [ 2 2 2 ... 33 31 30] ... [ 13 13 13 ... 12 10 11] [ 13 14 14 ... 12 10 12] [159 14 14 ... 12 10 160]] Instance: 40 ============ [[ 9 8 20 ... 3 4 5] [ 4 12 11 ... 1 2 3] [ 9 14 12 ... 0 1 1] ... [11 11 10 ... 20 20 20] [11 11 10 ... 20 20 20] [11 11 10 ... 20 20 20]] Instance: 41 ============ [[ 75 76 81 ... 131 77 60] [ 74 75 73 ... 72 128 76] [ 74 77 88 ... 27 110 120] ... [ 26 26 23 ... 28 28 28] [ 25 25 24 ... 28 28 28] [ 25 25 24 ... 28 28 28]] Instance: 42 ============ [[0 0 0 ... 6 5 4] [0 0 0 ... 6 4 3] [0 0 0 ... 6 4 3] ... [0 0 0 ... 0 0 0] [1 0 0 ... 0 0 1] [2 0 0 ... 0 0 2]] Instance: 43 ============ [[77 77 80 ... 12 12 11] [72 76 78 ... 16 12 12] [66 68 75 ... 16 15 10] ... [ 0 8 15 ... 0 0 0] [ 0 7 13 ... 0 0 0] [ 0 8 14 ... 0 0 0]] Instance: 44 ============ [[29 28 28 ... 6 6 5] [29 28 28 ... 8 8 7] [28 28 27 ... 7 7 9] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 45 ============ [[11 11 30 ... 31 33 34] [ 7 24 36 ... 34 32 34] [17 33 43 ... 33 31 33] ... [26 26 26 ... 22 21 21] [26 26 26 ... 20 21 21] [26 26 26 ... 18 21 21]] Instance: 46 ============ [[ 0 0 252 ... 0 0 0] [ 0 0 252 ... 0 0 0] [ 0 0 252 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 47 ============ [[ 3 5 7 ... 91 112 111] [ 3 5 6 ... 107 112 104] [ 3 5 5 ... 112 105 104] ... [ 0 0 0 ... 0 0 0] [ 3 3 0 ... 0 3 3] [ 14 9 0 ... 0 9 14]] Instance: 48 ============ [[ 50 52 51 ... 1 1 1] [ 46 50 50 ... 1 1 1] [ 48 52 50 ... 1 1 1] ... [240 1 1 ... 1 1 240] [ 1 1 1 ... 1 1 1] [ 1 1 1 ... 1 1 1]] Instance: 49 ============ [[21 24 24 ... 29 28 25] [21 22 26 ... 29 28 25] [22 24 24 ... 33 30 27] ... [ 5 31 3 ... 2 2 4] [ 5 30 0 ... 2 2 2] [ 4 30 0 ... 2 2 2]] Instance: 50 ============ [[122 128 127 ... 2 0 1] [128 127 132 ... 0 2 1] [133 132 134 ... 2 2 2] ... [ 4 4 4 ... 1 1 2] [ 4 4 4 ... 1 1 2] [ 4 4 4 ... 1 1 2]] Instance: 51 ============ [[ 8 8 8 ... 9 9 9] [ 8 8 8 ... 9 9 9] [ 8 8 8 ... 9 9 9] ... [ 0 35 51 ... 16 15 16] [ 0 34 50 ... 16 16 16] [ 0 33 50 ... 18 18 18]] Instance: 52 ============ [[ 4 4 5 ... 9 9 9] [ 4 3 3 ... 8 9 9] [ 4 3 2 ... 6 7 7] ... [15 14 19 ... 4 4 4] [12 14 18 ... 4 4 4] [53 14 18 ... 4 4 50]] Instance: 53 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [4 4 0 ... 0 4 4] [6 3 0 ... 0 3 6]] Instance: 54 ============ [[13 16 18 ... 1 0 0] [14 17 18 ... 7 0 0] [14 19 18 ... 13 6 0] ... [ 6 6 6 ... 8 8 8] [ 6 6 6 ... 8 8 8] [ 6 6 6 ... 8 8 8]] Instance: 55 ============ [[106 97 96 ... 94 87 81] [ 97 102 94 ... 88 85 86] [ 99 97 99 ... 83 84 87] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 56 ============ [[13 14 16 ... 4 4 4] [13 16 17 ... 4 4 4] [15 18 21 ... 4 4 4] ... [ 0 0 0 ... 10 10 10] [ 0 0 0 ... 10 10 10] [ 0 0 0 ... 10 10 10]] Instance: 57 ============ [[12 16 18 ... 0 0 0] [13 18 20 ... 3 0 0] [14 18 21 ... 0 0 0] ... [ 8 6 6 ... 1 2 4] [ 8 6 5 ... 2 1 3] [ 8 6 4 ... 3 0 2]] Instance: 58 ============ [[18 16 15 ... 17 17 18] [17 15 14 ... 15 17 16] [15 14 13 ... 14 17 16] ... [13 8 8 ... 11 11 17] [10 8 8 ... 11 11 15] [ 9 8 8 ... 11 11 11]] Instance: 59 ============ [[48 56 84 ... 19 13 6] [46 54 86 ... 19 13 7] [45 61 86 ... 19 13 6] ... [ 1 1 1 ... 6 3 0] [ 1 1 1 ... 0 0 0] [ 1 1 1 ... 0 0 0]] Instance: 60 ============ [[45 48 52 ... 37 37 33] [43 48 50 ... 36 36 34] [46 48 48 ... 37 38 33] ... [26 30 28 ... 46 43 30] [29 29 29 ... 47 39 34] [29 27 27 ... 48 41 28]] Instance: 61 ============ [[36 43 47 ... 0 0 0] [33 38 42 ... 0 0 0] [29 41 41 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 62 ============ [[ 0 0 0 ... 38 38 38] [ 0 0 0 ... 38 40 40] [ 0 0 0 ... 37 39 39] ... [13 13 14 ... 6 5 5] [13 15 16 ... 6 5 5] [13 17 18 ... 6 5 5]] Instance: 63 ============ [[33 37 33 ... 61 62 59] [33 33 37 ... 62 65 59] [33 35 34 ... 57 62 60] ... [33 40 53 ... 63 61 62] [38 50 54 ... 68 66 61] [35 36 48 ... 70 58 54]] Instance: 64 ============ [[22 24 25 ... 30 31 31] [22 23 26 ... 33 30 31] [22 24 27 ... 35 31 32] ... [10 10 11 ... 8 10 10] [10 10 11 ... 8 9 10] [10 10 11 ... 8 9 10]] Instance: 65 ============ [[18 20 22 ... 12 8 8] [20 22 23 ... 13 9 8] [20 19 21 ... 13 9 8] ... [ 0 0 0 ... 6 12 10] [ 0 0 0 ... 9 10 11] [ 0 0 0 ... 9 10 10]] Instance: 66 ============ [[ 6 9 13 ... 0 0 0] [ 6 9 13 ... 0 0 0] [ 6 8 13 ... 0 0 0] ... [195 4 0 ... 0 4 195] [ 1 1 0 ... 0 1 1] [ 0 0 0 ... 0 0 0]] Instance: 67 ============ [[ 42 47 45 ... 26 35 31] [ 45 45 47 ... 30 36 32] [ 40 48 49 ... 45 37 33] ... [ 25 41 44 ... 37 40 40] [ 29 41 43 ... 33 32 135] [ 30 36 41 ... 28 109 54]] Instance: 68 ============ [[12 12 12 ... 5 2 0] [12 12 12 ... 9 4 1] [12 12 12 ... 9 5 0] ... [37 36 35 ... 17 17 17] [37 35 34 ... 16 17 17] [36 34 31 ... 16 17 17]] Instance: 69 ============ [[ 32 30 32 ... 3 3 4] [ 33 32 34 ... 1 1 3] [ 36 35 35 ... 0 1 2] ... [ 2 2 0 ... 108 143 153] [ 2 2 0 ... 101 141 162] [ 2 2 0 ... 115 138 154]] Instance: 70 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 71 ============ [[49 60 70 ... 46 42 36] [61 74 80 ... 44 46 41] [79 73 67 ... 47 46 45] ... [ 6 4 2 ... 3 4 10] [ 7 3 2 ... 4 6 7] [ 9 4 2 ... 4 7 11]]
'''
/*---------------------------------------------------SPLIT ---------------------------------------
| Function : split()
| Purpose : Split Training, Testing, Validation Data Into Feature Vector and Labels:
|
| Arguments :
| image_array: Numpy array of Image
| Return :
| input_feature_vector,output_labels: Splitted dataset into Feature Vector and Output Labels
*-------------------------------------------------------------------------------------------------*/
'''
def split(image_array):
input_feature_vector = []
output_labels = []
for feature, label in image_array:
input_feature_vector.append(feature)
output_labels.append(label)
return input_feature_vector,output_labels
'''
/*----------------------------------------- DATA_NORMALIZATION -----------------------------------
| Function : data_normalization()
| Purpose : perform a grayscale normalization to reduce the effect of illumination's differences:
|
| Arguments :
| feature: Feature Vector to be Normalize
| Return :
| feature: Normalized Feature Vector
*---------------------------------------------------------------------------------------------------*/
'''
def data_normalization(input_feature_vector):
# Normalize the data
input_feature_vector = np.array(input_feature_vector)
input_feature_vector = input_feature_vector.astype('float32')
input_feature_vector= input_feature_vector/ 255
return input_feature_vector
print("Traininig Data in Numpy Array into Input Feature Vector and Output Labels")
print("=============================================================================")
input_training_data,output_training_label = split(training_data_array)
print("Training Data After Split")
print("=========================")
print("\nFeature Vector of Trainig Data")
print("================================")
print(input_training_data)
print("\nOutput Labels of Training Data")
print("================================\n")
print (output_training_label)
Traininig Data in Numpy Array into Input Feature Vector and Output Labels
=============================================================================
Training Data After Split
=========================
Feature Vector of Trainig Data
================================
[array([[141, 3, 3, ..., 17, 5, 0],
[ 1, 1, 124, ..., 15, 4, 0],
[222, 3, 2, ..., 15, 1, 0],
...,
[ 3, 3, 3, ..., 0, 0, 3],
[ 3, 3, 3, ..., 0, 1, 3],
[ 9, 3, 3, ..., 0, 2, 3]], dtype=uint8), array([[ 74, 1, 161, ..., 71, 75, 79],
[ 3, 0, 1, ..., 74, 68, 98],
[ 33, 3, 0, ..., 76, 83, 114],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 2, 0, 0, ..., 0, 0, 0],
[ 2, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[65, 76, 78, ..., 60, 60, 55],
[64, 71, 76, ..., 59, 57, 54],
[64, 73, 76, ..., 59, 53, 50],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 94, 94, 90, ..., 45, 38, 31],
[125, 92, 95, ..., 39, 32, 25],
[138, 124, 94, ..., 37, 30, 24],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[41, 49, 55, ..., 43, 42, 35],
[39, 49, 57, ..., 41, 39, 28],
[36, 44, 59, ..., 48, 37, 30],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 38, 36, 31],
[ 0, 0, 0, ..., 36, 35, 36],
[ 0, 0, 0, ..., 41, 33, 35],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 33, 36, 41],
[ 0, 0, 0, ..., 35, 41, 42],
[ 0, 0, 0, ..., 34, 38, 43],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 4, 1, 4, ..., 30, 27, 14],
[106, 3, 1, ..., 24, 14, 5],
[ 37, 2, 1, ..., 17, 5, 3],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 2, 3, 0, ..., 0, 0, 0],
[ 2, 1, 0, ..., 0, 0, 0]], dtype=uint8), array([[132, 156, 143, ..., 0, 0, 0],
[103, 140, 156, ..., 0, 0, 0],
[ 93, 108, 147, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 37, 29, 23],
[ 0, 0, 0, ..., 38, 30, 19],
[ 0, 0, 0, ..., 35, 28, 22],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[145, 2, 2, ..., 42, 53, 30],
[ 3, 1, 86, ..., 41, 32, 16],
[199, 0, 2, ..., 34, 27, 16],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 4, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[104, 0, 11, ..., 3, 1, 0],
[ 1, 0, 6, ..., 3, 0, 0],
[ 9, 0, 8, ..., 2, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 4, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[47, 49, 50, ..., 0, 0, 0],
[48, 50, 54, ..., 0, 0, 0],
[47, 49, 51, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 86, 95, 104, ..., 87, 82, 76],
[ 88, 95, 100, ..., 88, 79, 75],
[ 88, 96, 103, ..., 85, 79, 70],
...,
[ 1, 0, 0, ..., 0, 0, 0],
[ 1, 0, 0, ..., 0, 0, 0],
[ 1, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[111, 1, 202, ..., 0, 0, 0],
[ 2, 1, 1, ..., 0, 0, 0],
[157, 0, 3, ..., 0, 0, 0],
...,
[ 4, 0, 0, ..., 0, 0, 0],
[ 2, 0, 0, ..., 0, 0, 0],
[ 3, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[145, 1, 57, ..., 13, 16, 16],
[ 2, 1, 9, ..., 9, 15, 13],
[ 22, 1, 57, ..., 13, 8, 10],
...,
[199, 223, 205, ..., 46, 44, 56],
[213, 182, 224, ..., 52, 49, 55],
[200, 220, 196, ..., 49, 37, 59]], dtype=uint8), array([[ 87, 82, 103, ..., 90, 92, 109],
[ 86, 85, 88, ..., 90, 89, 127],
[ 91, 85, 92, ..., 90, 91, 148],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[37, 43, 48, ..., 35, 28, 20],
[35, 43, 38, ..., 34, 24, 20],
[39, 41, 41, ..., 31, 27, 18],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[107, 1, 210, ..., 199, 206, 203],
[ 2, 1, 3, ..., 194, 200, 195],
[ 89, 2, 1, ..., 201, 200, 198],
...,
[ 55, 97, 112, ..., 28, 28, 28],
[ 63, 76, 94, ..., 28, 28, 28],
[127, 68, 77, ..., 28, 28, 28]], dtype=uint8), array([[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
...,
[33, 53, 60, ..., 0, 3, 4],
[32, 48, 59, ..., 2, 3, 6],
[31, 46, 59, ..., 2, 4, 5]], dtype=uint8), array([[18, 18, 14, ..., 0, 0, 0],
[17, 21, 15, ..., 0, 0, 0],
[14, 22, 14, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 43, 50, 56, ..., 82, 3, 77],
[ 41, 48, 55, ..., 0, 2, 122],
[ 37, 44, 52, ..., 148, 2, 73],
...,
[ 41, 36, 36, ..., 33, 31, 38],
[ 43, 37, 33, ..., 33, 31, 31],
[ 35, 28, 25, ..., 26, 24, 69]], dtype=uint8), array([[ 0, 0, 0, ..., 34, 42, 39],
[ 0, 0, 0, ..., 35, 39, 38],
[ 0, 0, 0, ..., 38, 35, 36],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 6, 0, 0, ..., 0, 0, 0],
[ 6, 0, 0, ..., 0, 0, 1]], dtype=uint8), array([[110, 1, 79, ..., 12, 12, 11],
[ 6, 1, 3, ..., 14, 10, 8],
[ 1, 2, 3, ..., 13, 10, 10],
...,
[ 0, 0, 0, ..., 19, 17, 9],
[ 2, 1, 0, ..., 13, 17, 10],
[ 1, 1, 0, ..., 12, 5, 2]], dtype=uint8), array([[ 73, 88, 97, ..., 164, 102, 99],
[ 81, 93, 93, ..., 157, 101, 101],
[ 78, 89, 96, ..., 156, 94, 93],
...,
[ 0, 0, 0, ..., 0, 1, 1],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[112, 0, 136, ..., 72, 75, 79],
[ 4, 0, 2, ..., 72, 75, 77],
[ 5, 0, 2, ..., 70, 72, 78],
...,
[ 48, 49, 41, ..., 48, 45, 42],
[ 61, 49, 45, ..., 44, 52, 30],
[ 43, 47, 36, ..., 39, 40, 38]], dtype=uint8), array([[152, 132, 137, ..., 118, 126, 124],
[148, 130, 142, ..., 124, 130, 134],
[139, 139, 142, ..., 123, 126, 123],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[35, 1, 3, ..., 30, 31, 31],
[78, 4, 2, ..., 31, 32, 28],
[44, 1, 1, ..., 31, 33, 30],
...,
[26, 24, 26, ..., 10, 10, 11],
[21, 24, 20, ..., 9, 7, 10],
[19, 19, 20, ..., 9, 13, 87]], dtype=uint8), array([[ 38, 40, 46, ..., 52, 74, 103],
[ 40, 39, 43, ..., 54, 73, 105],
[ 37, 39, 43, ..., 51, 70, 104],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[255, 255, 255, ..., 60, 51, 34],
[222, 222, 231, ..., 54, 47, 29],
[ 78, 86, 97, ..., 53, 44, 26],
...,
[ 0, 0, 0, ..., 1, 1, 1],
[ 0, 0, 0, ..., 1, 2, 2],
[ 0, 0, 0, ..., 1, 2, 2]], dtype=uint8), array([[157, 1, 88, ..., 68, 73, 74],
[ 3, 2, 13, ..., 71, 70, 80],
[107, 5, 213, ..., 75, 78, 80],
...,
[ 16, 32, 33, ..., 36, 33, 26],
[ 23, 20, 29, ..., 35, 26, 28],
[ 23, 19, 22, ..., 26, 32, 28]], dtype=uint8), array([[36, 44, 54, ..., 73, 74, 87],
[34, 48, 56, ..., 66, 71, 83],
[37, 43, 55, ..., 68, 67, 85],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[41, 40, 41, ..., 43, 35, 36],
[37, 37, 39, ..., 38, 32, 34],
[41, 41, 43, ..., 38, 35, 33],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[87, 1, 25, ..., 0, 0, 1],
[ 2, 0, 1, ..., 0, 0, 2],
[ 1, 0, 0, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 2, 0, 0, ..., 0, 0, 2],
[ 1, 0, 0, ..., 0, 0, 1]], dtype=uint8), array([[ 0, 0, 0, ..., 53, 54, 54],
[ 0, 0, 0, ..., 60, 53, 51],
[ 0, 0, 0, ..., 59, 51, 46],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[31, 31, 32, ..., 14, 16, 24],
[31, 32, 30, ..., 15, 21, 26],
[33, 35, 36, ..., 19, 25, 34],
...,
[12, 12, 12, ..., 14, 13, 13],
[12, 12, 12, ..., 14, 12, 13],
[12, 12, 12, ..., 12, 12, 13]], dtype=uint8), array([[48, 50, 57, ..., 70, 77, 75],
[50, 50, 51, ..., 75, 82, 84],
[50, 49, 56, ..., 86, 86, 87],
...,
[11, 13, 13, ..., 8, 0, 0],
[10, 11, 11, ..., 11, 0, 0],
[ 8, 11, 12, ..., 9, 1, 5]], dtype=uint8), array([[ 0, 0, 254, ..., 0, 0, 0],
[ 0, 0, 254, ..., 0, 0, 0],
[ 0, 0, 254, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 2, 2, 2, ..., 37, 34, 32],
[ 2, 2, 2, ..., 34, 33, 31],
[ 2, 2, 2, ..., 33, 31, 30],
...,
[ 13, 13, 13, ..., 12, 10, 11],
[ 13, 14, 14, ..., 12, 10, 12],
[159, 14, 14, ..., 12, 10, 160]], dtype=uint8), array([[ 9, 8, 20, ..., 3, 4, 5],
[ 4, 12, 11, ..., 1, 2, 3],
[ 9, 14, 12, ..., 0, 1, 1],
...,
[11, 11, 10, ..., 20, 20, 20],
[11, 11, 10, ..., 20, 20, 20],
[11, 11, 10, ..., 20, 20, 20]], dtype=uint8), array([[ 75, 76, 81, ..., 131, 77, 60],
[ 74, 75, 73, ..., 72, 128, 76],
[ 74, 77, 88, ..., 27, 110, 120],
...,
[ 26, 26, 23, ..., 28, 28, 28],
[ 25, 25, 24, ..., 28, 28, 28],
[ 25, 25, 24, ..., 28, 28, 28]], dtype=uint8), array([[0, 0, 0, ..., 6, 5, 4],
[0, 0, 0, ..., 6, 4, 3],
[0, 0, 0, ..., 6, 4, 3],
...,
[0, 0, 0, ..., 0, 0, 0],
[1, 0, 0, ..., 0, 0, 1],
[2, 0, 0, ..., 0, 0, 2]], dtype=uint8), array([[77, 77, 80, ..., 12, 12, 11],
[72, 76, 78, ..., 16, 12, 12],
[66, 68, 75, ..., 16, 15, 10],
...,
[ 0, 8, 15, ..., 0, 0, 0],
[ 0, 7, 13, ..., 0, 0, 0],
[ 0, 8, 14, ..., 0, 0, 0]], dtype=uint8), array([[29, 28, 28, ..., 6, 6, 5],
[29, 28, 28, ..., 8, 8, 7],
[28, 28, 27, ..., 7, 7, 9],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[11, 11, 30, ..., 31, 33, 34],
[ 7, 24, 36, ..., 34, 32, 34],
[17, 33, 43, ..., 33, 31, 33],
...,
[26, 26, 26, ..., 22, 21, 21],
[26, 26, 26, ..., 20, 21, 21],
[26, 26, 26, ..., 18, 21, 21]], dtype=uint8), array([[ 0, 0, 252, ..., 0, 0, 0],
[ 0, 0, 252, ..., 0, 0, 0],
[ 0, 0, 252, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 3, 5, 7, ..., 91, 112, 111],
[ 3, 5, 6, ..., 107, 112, 104],
[ 3, 5, 5, ..., 112, 105, 104],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 3, 3, 0, ..., 0, 3, 3],
[ 14, 9, 0, ..., 0, 9, 14]], dtype=uint8), array([[ 50, 52, 51, ..., 1, 1, 1],
[ 46, 50, 50, ..., 1, 1, 1],
[ 48, 52, 50, ..., 1, 1, 1],
...,
[240, 1, 1, ..., 1, 1, 240],
[ 1, 1, 1, ..., 1, 1, 1],
[ 1, 1, 1, ..., 1, 1, 1]], dtype=uint8), array([[21, 24, 24, ..., 29, 28, 25],
[21, 22, 26, ..., 29, 28, 25],
[22, 24, 24, ..., 33, 30, 27],
...,
[ 5, 31, 3, ..., 2, 2, 4],
[ 5, 30, 0, ..., 2, 2, 2],
[ 4, 30, 0, ..., 2, 2, 2]], dtype=uint8), array([[122, 128, 127, ..., 2, 0, 1],
[128, 127, 132, ..., 0, 2, 1],
[133, 132, 134, ..., 2, 2, 2],
...,
[ 4, 4, 4, ..., 1, 1, 2],
[ 4, 4, 4, ..., 1, 1, 2],
[ 4, 4, 4, ..., 1, 1, 2]], dtype=uint8), array([[ 8, 8, 8, ..., 9, 9, 9],
[ 8, 8, 8, ..., 9, 9, 9],
[ 8, 8, 8, ..., 9, 9, 9],
...,
[ 0, 35, 51, ..., 16, 15, 16],
[ 0, 34, 50, ..., 16, 16, 16],
[ 0, 33, 50, ..., 18, 18, 18]], dtype=uint8), array([[ 4, 4, 5, ..., 9, 9, 9],
[ 4, 3, 3, ..., 8, 9, 9],
[ 4, 3, 2, ..., 6, 7, 7],
...,
[15, 14, 19, ..., 4, 4, 4],
[12, 14, 18, ..., 4, 4, 4],
[53, 14, 18, ..., 4, 4, 50]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[4, 4, 0, ..., 0, 4, 4],
[6, 3, 0, ..., 0, 3, 6]], dtype=uint8), array([[13, 16, 18, ..., 1, 0, 0],
[14, 17, 18, ..., 7, 0, 0],
[14, 19, 18, ..., 13, 6, 0],
...,
[ 6, 6, 6, ..., 8, 8, 8],
[ 6, 6, 6, ..., 8, 8, 8],
[ 6, 6, 6, ..., 8, 8, 8]], dtype=uint8), array([[106, 97, 96, ..., 94, 87, 81],
[ 97, 102, 94, ..., 88, 85, 86],
[ 99, 97, 99, ..., 83, 84, 87],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[13, 14, 16, ..., 4, 4, 4],
[13, 16, 17, ..., 4, 4, 4],
[15, 18, 21, ..., 4, 4, 4],
...,
[ 0, 0, 0, ..., 10, 10, 10],
[ 0, 0, 0, ..., 10, 10, 10],
[ 0, 0, 0, ..., 10, 10, 10]], dtype=uint8), array([[12, 16, 18, ..., 0, 0, 0],
[13, 18, 20, ..., 3, 0, 0],
[14, 18, 21, ..., 0, 0, 0],
...,
[ 8, 6, 6, ..., 1, 2, 4],
[ 8, 6, 5, ..., 2, 1, 3],
[ 8, 6, 4, ..., 3, 0, 2]], dtype=uint8), array([[18, 16, 15, ..., 17, 17, 18],
[17, 15, 14, ..., 15, 17, 16],
[15, 14, 13, ..., 14, 17, 16],
...,
[13, 8, 8, ..., 11, 11, 17],
[10, 8, 8, ..., 11, 11, 15],
[ 9, 8, 8, ..., 11, 11, 11]], dtype=uint8), array([[48, 56, 84, ..., 19, 13, 6],
[46, 54, 86, ..., 19, 13, 7],
[45, 61, 86, ..., 19, 13, 6],
...,
[ 1, 1, 1, ..., 6, 3, 0],
[ 1, 1, 1, ..., 0, 0, 0],
[ 1, 1, 1, ..., 0, 0, 0]], dtype=uint8), array([[45, 48, 52, ..., 37, 37, 33],
[43, 48, 50, ..., 36, 36, 34],
[46, 48, 48, ..., 37, 38, 33],
...,
[26, 30, 28, ..., 46, 43, 30],
[29, 29, 29, ..., 47, 39, 34],
[29, 27, 27, ..., 48, 41, 28]], dtype=uint8), array([[36, 43, 47, ..., 0, 0, 0],
[33, 38, 42, ..., 0, 0, 0],
[29, 41, 41, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 38, 38, 38],
[ 0, 0, 0, ..., 38, 40, 40],
[ 0, 0, 0, ..., 37, 39, 39],
...,
[13, 13, 14, ..., 6, 5, 5],
[13, 15, 16, ..., 6, 5, 5],
[13, 17, 18, ..., 6, 5, 5]], dtype=uint8), array([[33, 37, 33, ..., 61, 62, 59],
[33, 33, 37, ..., 62, 65, 59],
[33, 35, 34, ..., 57, 62, 60],
...,
[33, 40, 53, ..., 63, 61, 62],
[38, 50, 54, ..., 68, 66, 61],
[35, 36, 48, ..., 70, 58, 54]], dtype=uint8), array([[22, 24, 25, ..., 30, 31, 31],
[22, 23, 26, ..., 33, 30, 31],
[22, 24, 27, ..., 35, 31, 32],
...,
[10, 10, 11, ..., 8, 10, 10],
[10, 10, 11, ..., 8, 9, 10],
[10, 10, 11, ..., 8, 9, 10]], dtype=uint8), array([[18, 20, 22, ..., 12, 8, 8],
[20, 22, 23, ..., 13, 9, 8],
[20, 19, 21, ..., 13, 9, 8],
...,
[ 0, 0, 0, ..., 6, 12, 10],
[ 0, 0, 0, ..., 9, 10, 11],
[ 0, 0, 0, ..., 9, 10, 10]], dtype=uint8), array([[ 6, 9, 13, ..., 0, 0, 0],
[ 6, 9, 13, ..., 0, 0, 0],
[ 6, 8, 13, ..., 0, 0, 0],
...,
[195, 4, 0, ..., 0, 4, 195],
[ 1, 1, 0, ..., 0, 1, 1],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 42, 47, 45, ..., 26, 35, 31],
[ 45, 45, 47, ..., 30, 36, 32],
[ 40, 48, 49, ..., 45, 37, 33],
...,
[ 25, 41, 44, ..., 37, 40, 40],
[ 29, 41, 43, ..., 33, 32, 135],
[ 30, 36, 41, ..., 28, 109, 54]], dtype=uint8), array([[12, 12, 12, ..., 5, 2, 0],
[12, 12, 12, ..., 9, 4, 1],
[12, 12, 12, ..., 9, 5, 0],
...,
[37, 36, 35, ..., 17, 17, 17],
[37, 35, 34, ..., 16, 17, 17],
[36, 34, 31, ..., 16, 17, 17]], dtype=uint8), array([[ 32, 30, 32, ..., 3, 3, 4],
[ 33, 32, 34, ..., 1, 1, 3],
[ 36, 35, 35, ..., 0, 1, 2],
...,
[ 2, 2, 0, ..., 108, 143, 153],
[ 2, 2, 0, ..., 101, 141, 162],
[ 2, 2, 0, ..., 115, 138, 154]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[49, 60, 70, ..., 46, 42, 36],
[61, 74, 80, ..., 44, 46, 41],
[79, 73, 67, ..., 47, 46, 45],
...,
[ 6, 4, 2, ..., 3, 4, 10],
[ 7, 3, 2, ..., 4, 6, 7],
[ 9, 4, 2, ..., 4, 7, 11]], dtype=uint8)]
Output Labels of Training Data
================================
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
print("Normalization of Feature Vecotrs of Training Data")
print("==================================================\n")
normalized_training_data = data_normalization(input_training_data)
for i in range(len(training_data)):
print("Instance: ",i)
print("============ \n")
print(normalized_training_data[i][0])
i=i+1
Normalization of Feature Vecotrs of Training Data ================================================== Instance: 0 ============ [0.5529412 0.01176471 0.01176471 0.00392157 0.00392157 0.01176471 0.00392157 0.00392157 0.11764706 0.16470589 0.17254902 0.1882353 0.19607843 0.26666668 0.31764707 0.4 0.41960785 0.5921569 0.46666667 0.46666667 0.47058824 0.4862745 0.49411765 0.47843137 0.48235294 0.48235294 0.32156864 0.48235294 0.6745098 0.60784316 0.6039216 0.5803922 0.54901963 0.56078434 0.5372549 0.5411765 0.56078434 0.65882355 0.6313726 0.44313726 0.3882353 0.3882353 0.38431373 0.41568628 0.40392157 0.3764706 0.40392157 0.36862746 0.34509805 0.34509805 0.38039216 0.36078432 0.6 0.42352942 0.4509804 0.3647059 0.36078432 0.34509805 0.38039216 0.33333334 0.29411766 0.23921569 0.23137255 0.21176471 0.2 0.16862746 0.17254902 0.1254902 0.00392157 0.02352941 0.02352941 0.02352941 0.01960784 0.02745098 0.03137255 0.03137255 0.02352941 0.02352941 0.02352941 0.20392157 0.26666668 0.45882353 0.5529412 0.60784316 0.63529414 0.6627451 0.68235296 0.84313726 0.75686276 0.79607844 0.80784315 0.8039216 0.7882353 0.78039217 0.7882353 0.78431374 0.45490196 0.79607844 0.8156863 0.8117647 0.8 0.8156863 0.8 0.8039216 0.8117647 0.81960785 0.8352941 0.827451 0.8235294 0.827451 0.83137256 0.8235294 0.83137256 0.8235294 0.81960785 0.8117647 0.8 0.7921569 0.7490196 0.7764706 0.77254903 0.78039217 0.8392157 0.78431374 0.7882353 0.7882353 0.7921569 0.8117647 0.78039217 0.76862746 0.7490196 0.21568628 0.6666667 0.63529414 0.6392157 0.6156863 0.6117647 0.59607846 0.5647059 0.57254905 0.57254905 0.5764706 0.5529412 0.5568628 0.4862745 0.4745098 0.44705883 0.42745098 0.3647059 0.34509805 0.3254902 0.2901961 0.22352941 0.04705882 0. 0.01176471 0.05490196 0.34509805 0.07058824 0.07843138 0.10980392 0.14901961 0.2 0.22745098 0.2509804 0.3137255 0.2784314 0.40392157 0.41960785 0.36862746 0.37254903 0.3529412 0.3647059 0.3529412 0.3647059 0.3254902 0.34117648 0.34509805 0.36862746 0.37254903 0.3372549 0.31764707 0.32156864 0.31764707 0.32156864 0.34117648 0.34117648 0.39215687 0.5411765 0.5529412 0.5529412 0.5764706 0.7058824 0.5882353 0.6039216 0.57254905 0.59607846 0.57254905 0.5529412 0.6 0.62352943 0.39215687 0.4862745 0.4627451 0.47058824 0.4627451 0.45490196 0.42745098 0.42745098 0.40392157 0.44705883 0.3882353 0.36078432 0.3137255 0.30980393 0.23921569 0.22352941 0.18039216 0.14117648 0.10196079 0.08235294 0.06666667 0.01960784 0. ] Instance: 1 ============ [0.2901961 0.00392157 0.6313726 0.00784314 0. 0. 0. 0. 0. 0. 0.01176471 0.01176471 0.02352941 0.04313726 0.05098039 0.05882353 0.05882353 0.10588235 0.12156863 0.14117648 0.14117648 0.14117648 0.18039216 0.1764706 0.2 0.20784314 0.23529412 0.2509804 0.29803923 0.34509805 0.32941177 0.34509805 0.3254902 0.2784314 0.33333334 0.3882353 0.3372549 0.38039216 0.41960785 0.5764706 0.56078434 0.5764706 0.5764706 0.5529412 0.5411765 0.54509807 0.60784316 0.5647059 0.5764706 0.5764706 0.59607846 0.5803922 0.58431375 0.5529412 0.6 0.35686275 0.49019608 0.44313726 0.42745098 0.4509804 0.39215687 0.37254903 0.40392157 0.39607844 0.42745098 0.43137255 0.3882353 0.44313726 0.41960785 0.41960785 0.4392157 0.40784314 0.40392157 0.37254903 0.3254902 0.44313726 0.59607846 0.40392157 0.6745098 0.6901961 0.68235296 0.69803923 0.73333335 0.7490196 0.75686276 0.77254903 0.7176471 0.7529412 0.81960785 0.8 0.80784315 0.8235294 0.81960785 0.827451 0.80784315 0.8235294 0.8235294 0.8235294 0.8352941 0.43137255 0.83137256 0.84313726 0.8117647 0.8156863 0.84313726 0.8235294 0.8509804 0.83137256 0.8509804 0.85882354 0.827451 0.827451 0.8352941 0.85882354 0.84705883 0.8509804 0.8352941 0.827451 0.81960785 0.84705883 0.8352941 0.36862746 0.85490197 0.8392157 0.8392157 0.84705883 0.8352941 0.8392157 0.83137256 0.8627451 0.8352941 0.84705883 0.78039217 0.8352941 0.827451 0.8156863 0.8156863 0.80784315 0.827451 0.8352941 0.84705883 0.85490197 0.85490197 0.32941177 0.84313726 0.8235294 0.84705883 0.8509804 0.84313726 0.7921569 0.80784315 0.80784315 0.81960785 0.8156863 0.6666667 0.78039217 0.77254903 0.76862746 0.7529412 0.7490196 0.7372549 0.7490196 0.7294118 0.7176471 0.7176471 0.21568628 0.7176471 0.7019608 0.7019608 0.6862745 0.67058825 0.63529414 0.6392157 0.61960787 0.60784316 0.5647059 0.4392157 0.4627451 0.41960785 0.30588236 0.23529412 0.13725491 0.28235295 0.3137255 0.34117648 0.2509804 0.08627451 0.00784314 0.05098039 0.07058824 0.07843138 0.06666667 0.08627451 0.06666667 0.08627451 0.08235294 0.08235294 0.09019608 0.08627451 0.12156863 0.1254902 0.15294118 0.13333334 0.13725491 0.14509805 0.15686275 0.16078432 0.1882353 0.15686275 0.03529412 0.17254902 0.19607843 0.19215687 0.21568628 0.21176471 0.23529412 0.21568628 0.24705882 0.29803923 0.26666668 0.16862746 0.2784314 0.29411766 0.30980393] Instance: 2 ============ [0.25490198 0.29803923 0.30588236 0.3019608 0.3254902 0.3137255 0.33333334 0.3529412 0.36078432 0.34901962 0.37254903 0.63529414 0.67058825 0.54509807 0.5372549 0.54509807 0.5137255 0.5294118 0.58431375 0.69411767 0.5529412 0.36862746 0.3647059 0.37254903 0.3647059 0.3529412 0.34901962 0.34509805 0.34117648 0.31764707 0.3137255 0.31764707 0.29411766 0.29803923 0.27450982 0.2509804 0.24705882 0.21960784 0.21176471 0.1882353 0.15686275 0.12941177 0.09803922 0.07843138 0.07058824 0.04313726 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.03137255 0.05490196 0.13333334 0.18431373 0.20392157 0.23921569 0.25882354 0.27450982 0.27058825 0.2784314 0.3529412 0.4117647 0.4745098 0.68235296 0.7411765 0.73333335 0.73333335 0.7176471 0.7294118 0.74509805 0.8 0.8039216 0.8039216 0.81960785 0.84705883 0.8784314 0.90588236 0.89411765 0.9098039 0.92941177 0.9254902 0.9019608 0.85882354 0.8509804 0.85882354 0.84313726 0.84705883 0.827451 0.8235294 0.81960785 0.81960785 0.8509804 0.8980392 0.8745098 0.8862745 0.89411765 0.8627451 0.8784314 0.85490197 0.8745098 0.8784314 0.8901961 0.8784314 0.9019608 0.8784314 0.8392157 0.8039216 0.76862746 0.7764706 0.80784315 0.76862746 0.74509805 0.7176471 0.69803923 0.6627451 0.6666667 0.6509804 0.627451 0.62352943 0.5921569 0.56078434 0.5294118 0.4862745 0.45882353 0.4 0.36078432 0.31764707 0.26666668 0.22352941 0.14901961 0.05490196 0.03921569 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.02352941 0.06666667 0.09019608 0.10980392 0.13333334 0.18431373 0.22352941 0.24313726 0.25882354 0.26666668 0.29411766 0.30588236 0.30980393 0.32941177 0.3372549 0.32156864 0.34901962 0.34509805 0.32941177 0.34509805 0.33333334 0.30980393 0.32156864 0.3372549 0.32156864 0.34117648 0.32941177 0.34509805 0.36862746 0.6509804 0.6745098 0.5254902 0.5176471 0.5058824 0.5294118 0.5411765 0.5686275 0.6784314 0.56078434 0.36078432 0.3647059 0.34901962 0.3529412 0.3372549 0.36078432 0.34117648 0.34117648 0.30980393 0.28235295 0.25882354 0.25882354 0.24313726 0.23529412 0.23529412 0.21568628] Instance: 3 ============ [0.36862746 0.36862746 0.3529412 0.3764706 0.3647059 0.3529412 0.35686275 0.35686275 0.34509805 0.34509805 0.32941177 0.32156864 0.32941177 0.32156864 0.3019608 0.29411766 0.25490198 0.26666668 0.2509804 0.23529412 0.23137255 0.22745098 0.20784314 0.18431373 0.18431373 0.20392157 0.18431373 0.16078432 0.16078432 0.13333334 0.14117648 0.14509805 0.11764706 0.09803922 0.09803922 0.08627451 0.06666667 0.07058824 0.03529412 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01568628 0.05882353 0.3764706 0.5058824 0.5019608 0.5176471 0.52156866 0.57254905 0.6 0.62352943 0.62352943 0.6313726 0.6627451 0.6862745 0.6862745 0.69803923 0.72156864 0.7294118 0.7921569 0.8117647 0.8509804 0.8901961 0.89411765 0.9490196 0.92941177 0.9137255 0.84705883 0.8392157 0.827451 0.85882354 0.85882354 0.88235295 0.88235295 0.89411765 0.9137255 0.93333334 0.8862745 0.8862745 0.9098039 0.94509804 0.9490196 0.9372549 0.8745098 0.8862745 0.88235295 0.85882354 0.83137256 0.80784315 0.8509804 0.8352941 0.7882353 0.827451 0.85882354 0.8039216 0.75686276 0.7490196 0.76862746 0.8156863 0.8156863 0.8117647 0.8117647 0.8117647 0.8509804 0.8235294 0.84705883 0.827451 0.79607844 0.85490197 0.8901961 0.9411765 0.9019608 0.8901961 0.8901961 0.8862745 0.8862745 0.9019608 0.9137255 0.9254902 0.94509804 0.9372549 0.91764706 0.9254902 0.9098039 0.85490197 0.8627451 0.8392157 0.8156863 0.8 0.7764706 0.80784315 0.79607844 0.83137256 0.84313726 0.84313726 0.7921569 0.6 0.56078434 0.6745098 0.69411767 0.69411767 0.6627451 0.57254905 0.57254905 0.58431375 0.5686275 0.5568628 0.56078434 0.5803922 0.58431375 0.5803922 0.5647059 0.56078434 0.5529412 0.53333336 0.49803922 0.46666667 0.3372549 0.3372549 0.32941177 0.35686275 0.36862746 0.36862746 0.38039216 0.38039216 0.39215687 0.3764706 0.38431373 0.39215687 0.38431373 0.3764706 0.45490196 0.5294118 0.5647059 0.56078434 0.5372549 0.5372549 0.54509807 0.5294118 0.5176471 0.5176471 0.5254902 0.5568628 0.5803922 0.69411767 0.47058824 0.41568628 0.43529412 0.41960785 0.41960785 0.40784314 0.40784314 0.4 0.37254903 0.39215687 0.3647059 0.36862746 0.3647059 0.3529412 0.34117648 0.3372549 0.34117648 0.3137255 0.29803923 0.2901961 0.2901961 0.28235295 0.27450982 0.24313726 0.23529412 0.19215687 0.1764706 0.14901961 0.12156863] Instance: 4 ============ [0.16078432 0.19215687 0.21568628 0.26666668 0.24705882 0.2627451 0.28235295 0.26666668 0.2901961 0.31764707 0.30980393 0.4392157 0.60784316 0.47058824 0.41960785 0.40392157 0.42352942 0.4 0.4 0.41960785 0.41568628 0.42352942 0.5647059 0.5686275 0.35686275 0.2901961 0.2901961 0.25882354 0.23137255 0.23529412 0.23137255 0.23921569 0.28627452 0.3019608 0.3019608 0.29411766 0.29411766 0.28627452 0.29803923 0.29411766 0.30980393 0.29803923 0.3019608 0.2627451 0.24313726 0.23137255 0.2 0.19215687 0.17254902 0.18431373 0.2 0.23529412 0.21176471 0.16862746 0.17254902 0.17254902 0.15686275 0.12156863 0.07843138 0.0627451 0.05490196 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.2901961 0.38431373 0.45882353 0.5254902 0.5803922 0.5882353 0.58431375 0.6117647 0.63529414 0.61960787 0.64705884 0.64705884 0.65882355 0.69411767 0.69411767 0.7372549 0.72156864 0.7372549 0.8627451 0.92156863 0.8745098 0.8784314 0.88235295 0.89411765 0.9254902 0.9137255 0.9019608 0.8784314 0.91764706 0.89411765 0.9254902 0.9647059 0.9490196 0.94509804 0.9137255 0.9254902 0.94509804 0.94509804 0.90588236 0.8784314 0.8862745 0.85490197 0.8980392 0.9019608 0.9411765 0.8980392 0.93333334 0.91764706 0.91764706 0.9372549 0.9411765 0.9529412 0.99607843 0.95686275 0.98039216 0.96862745 0.91764706 0.8862745 0.85882354 0.9137255 0.91764706 0.91764706 0.88235295 0.90588236 0.8745098 0.9254902 0.9372549 0.8784314 0.77254903 0.7529412 0.7490196 0.7490196 0.72156864 0.7137255 0.70980394 0.7137255 0.7019608 0.70980394 0.73333335 0.6784314 0.62352943 0.59607846 0.5882353 0.4862745 0.45882353 0.39607844 0.2 0.05490196 0.07058824 0.06666667 0.08627451 0.13333334 0.27450982 0.30980393 0.32156864 0.27058825 0.2627451 0.27450982 0.34901962 0.31764707 0.32941177 0.37254903 0.39215687 0.3764706 0.40392157 0.39215687 0.4 0.4392157 0.44705883 0.4 0.39215687 0.4 0.39607844 0.40784314 0.3647059 0.38039216 0.49803922 0.61960787 0.49411765 0.5019608 0.5019608 0.5137255 0.49019608 0.49019608 0.49019608 0.47058824 0.4745098 0.46666667 0.48235294 0.46666667 0.54901963 0.54509807 0.29803923 0.29411766 0.30980393 0.32156864 0.3019608 0.27450982 0.28235295 0.29803923 0.29411766 0.27450982 0.23921569 0.23921569 0.16862746 0.16470589 0.13725491] Instance: 5 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.01960784 0.03529412 0.0627451 0.06666667 0.08235294 0.09411765 0.10980392 0.10196079 0.13725491 0.14901961 0.14117648 0.15294118 0.16862746 0.20392157 0.18431373 0.18431373 0.22745098 0.22745098 0.20392157 0.20784314 0.44313726 0.3764706 0.3882353 0.29803923 0.33333334 0.38431373 0.37254903 0.36862746 0.39215687 0.3764706 0.40784314 0.42352942 0.44705883 0.41960785 0.43529412 0.38039216 0.3647059 0.25490198 0.26666668 0.26666668 0.27058825 0.2901961 0.29411766 0.27058825 0.29411766 0.27450982 0.25882354 0.23529412 0.23921569 0.21176471 0.16470589 0.12156863 0.42352942 0.64705884 0.6666667 0.61960787 0.5882353 0.54901963 0.54509807 0.52156866 0.4862745 0.44313726 0.4862745 0.5411765 0.5294118 0.56078434 0.53333336 0.5647059 0.5882353 0.5686275 0.5764706 0.5764706 0.54509807 0.56078434 0.57254905 0.56078434 0.5803922 0.6509804 0.78039217 0.8 0.7490196 0.7607843 0.65882355 0.72156864 0.75686276 0.74509805 0.6901961 0.72156864 0.74509805 0.77254903 0.80784315 0.8980392 0.9411765 0.8745098 0.83137256 0.8784314 0.84313726 0.8745098 0.87058824 0.85490197 0.8156863 0.8392157 0.7411765 0.6509804 0.6039216 0.70980394 0.6745098 0.6392157 0.7058824 0.7254902 0.654902 0.7411765 0.7294118 0.7647059 0.7294118 0.8 0.80784315 0.84313726 0.87058824 0.84313726 0.85490197 0.78431374 0.77254903 0.7372549 0.7490196 0.7137255 0.70980394 0.60784316 0.77254903 0.8509804 0.8784314 0.9019608 0.85882354 0.827451 0.8745098 0.8 0.8117647 0.8 0.7764706 0.6313726 0.68235296 0.6431373 0.627451 0.627451 0.57254905 0.67058825 0.6313726 0.69803923 0.7647059 0.5568628 0.5529412 0.54509807 0.5411765 0.5529412 0.5882353 0.58431375 0.54901963 0.5647059 0.53333336 0.5686275 0.59607846 0.5686275 0.5411765 0.59607846 0.58431375 0.5921569 0.5921569 0.6117647 0.6039216 0.6117647 0.6 0.5647059 0.45882353 0.48235294 0.46666667 0.4392157 0.40392157 0.31764707 0.11372549 0.11372549 0.11372549 0.09803922 0.18039216 0.3647059 0.46666667 0.4627451 0.42352942 0.3647059 0.3372549 0.3764706 0.35686275 0.33333334 0.32941177 0.36078432 0.3764706 0.4509804 0.52156866 0.4392157 0.1882353 0.15686275 0.16862746 0.1764706 0.20392157 0.1882353 0.13725491 0.14901961 0.14117648 0.12156863] Instance: 6 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.05490196 0.07450981 0.11372549 0.14901961 0.17254902 0.17254902 0.18431373 0.21568628 0.23921569 0.23529412 0.27450982 0.30980393 0.30588236 0.3372549 0.3529412 0.3372549 0.35686275 0.36862746 0.40392157 0.49803922 0.47843137 0.50980395 0.53333336 0.57254905 0.5921569 0.6 0.60784316 0.5921569 0.59607846 0.78039217 0.8509804 0.8 0.7411765 0.7372549 0.7529412 0.7764706 0.7137255 0.6431373 0.74509805 0.7529412 0.7647059 0.75686276 0.78039217 0.827451 0.83137256 0.8156863 0.88235295 0.8745098 0.8392157 0.7607843 0.72156864 0.81960785 0.8509804 0.8235294 0.78039217 0.7176471 0.7490196 0.88235295 0.8392157 0.83137256 0.8509804 0.8509804 0.8 0.80784315 0.85490197 0.8392157 0.8392157 0.8509804 0.7921569 0.6862745 0.8980392 0.8784314 0.8509804 0.92156863 0.8392157 0.9372549 0.91764706 0.8627451 0.8784314 0.8392157 0.7764706 0.7921569 0.75686276 0.7411765 0.7882353 0.7529412 0.7647059 0.8156863 0.81960785 0.80784315 0.6901961 0.6509804 0.60784316 0.6392157 0.6 0.6392157 0.6156863 0.6039216 0.58431375 0.58431375 0.5921569 0.58431375 0.6039216 0.59607846 0.54509807 0.5411765 0.5294118 0.5294118 0.5254902 0.5411765 0.5019608 0.50980395 0.49411765 0.4862745 0.45490196 0.39607844 0.29411766 0.27058825 0.16862746 0.05882353 0.0627451 0.08627451 0.09803922 0.10980392 0.12941177 0.14509805 0.15686275 0.14509805 0.15686275 0.14117648 0.16078432 0.15686275 0.1882353 0.18431373 0.19215687 0.18039216 0.1882353 0.16862746 0.1882353 0.19607843 0.19215687 0.1764706 0.17254902 0.17254902 0.21176471 0.21176471 0.21176471 0.21568628 0.20392157 0.21176471 0.20392157 0.20392157 0.20784314 0.20392157 0.22745098 0.21568628 0.2 0.18039216 0.1882353 0.16862746 0.18431373 0.14117648 0.15686275 0.14509805 0.0627451 0.0627451 0.12156863 0.12941177 0.14509805 0.14901961 0.16470589 0.16078432 0.16470589 0.23529412 0.27450982 0.22352941 0.22745098 0.20392157 0.21568628 0.27450982 0.08235294 0.10196079 0.10588235 0.07450981 0.09019608 0.12941177 0.14117648 0.16078432] Instance: 7 ============ [0.01568628 0.00392157 0.01568628 0.09019608 0.00784314 0.01568628 0.01568628 0.01176471 0.01568628 0.01568628 0.02745098 0.01568628 0.02745098 0.02352941 0.6784314 0.04313726 0.0627451 0.20392157 0.21568628 0.25882354 0.2627451 0.3019608 0.27450982 0.27450982 0.30588236 0.32156864 0.36078432 0.38431373 0.38431373 0.3372549 0.31764707 0.25490198 0.20784314 0.21176471 0.25882354 0.35686275 0.41960785 0.4627451 0.47058824 0.49019608 0.5254902 0.5137255 0.5254902 0.03137255 0.6156863 0.6117647 0.6117647 0.6431373 0.654902 0.63529414 0.63529414 0.61960787 0.61960787 0.6156863 0.6313726 0.62352943 0.6117647 0.95686275 0.60784316 0.59607846 0.6 0.5803922 0.6117647 0.5921569 0.58431375 0.5882353 0.6039216 0.627451 0.6313726 0.6784314 0.6784314 0.654902 0.6627451 0.7058824 0.6745098 0.68235296 0.6862745 0.6901961 0.7019608 0.7176471 0.70980394 0.7137255 0.72156864 0.7058824 0.6901961 0.69803923 0.29411766 0.70980394 0.73333335 0.7294118 0.7176471 0.69803923 0.7058824 0.6862745 0.67058825 0.68235296 0.69411767 0.6862745 0.6627451 0.654902 0.78039217 0.6392157 0.65882355 0.6666667 0.6666667 0.6784314 0.68235296 0.6901961 0.69411767 0.69411767 0.70980394 0.6862745 0.6862745 0.68235296 0.69803923 0.654902 0.6666667 0.6509804 0.67058825 0.7058824 0.6901961 0.70980394 0.70980394 0.7176471 0.7254902 0.7058824 0.70980394 0.69411767 0.6862745 0.25490198 0.65882355 0.6745098 0.67058825 0.6745098 0.68235296 0.6627451 0.67058825 0.6627451 0.6509804 0.6392157 0.6627451 0.6431373 0.6392157 0.8980392 0.6156863 0.6 0.6 0.5921569 0.59607846 0.6156863 0.54901963 0.57254905 0.5411765 0.5254902 0.5019608 0.44705883 0.48235294 0.4745098 0.4745098 0.47058824 0.4862745 0.48235294 0.46666667 0.42352942 0.37254903 0.3254902 0.33333334 0.31764707 0.30588236 0.3019608 0.29411766 0.3019608 0.02352941 0.16078432 0.19215687 0.20784314 0.20784314 0.22352941 0.24313726 0.24313726 0.2509804 0.24313726 0.23137255 0.22745098 0.21960784 0.1882353 0.26666668 0.20784314 0.19215687 0.17254902 0.18431373 0.16470589 0.15686275 0.15294118 0.15686275 0.13333334 0.12156863 0.10196079 0.10980392 0.09803922 0.09803922 0.09019608 0.07450981 0.07450981 0.10196079 0.12941177 0.12156863 0.10980392 0.10196079 0.11764706 0.13333334 0.11372549 0.12941177 0.11372549 0.09803922 0.53333336 0.10980392 0.09019608 0.09411765 0.10588235 0.12941177 0.11764706 0.10588235 0.05490196] Instance: 8 ============ [0.5176471 0.6117647 0.56078434 0.5411765 0.52156866 0.5176471 0.49019608 0.47843137 0.47843137 0.47843137 0.4509804 0.4745098 0.45882353 0.45882353 0.4745098 0.48235294 0.5137255 0.5137255 0.47058824 0.5294118 0.48235294 0.47843137 0.47843137 0.5294118 0.54509807 0.43529412 0.37254903 0.3764706 0.38431373 0.39607844 0.41960785 0.40784314 0.4117647 0.4 0.4117647 0.40784314 0.38431373 0.38039216 0.40392157 0.39607844 0.35686275 0.34901962 0.34117648 0.3137255 0.31764707 0.32156864 0.27450982 0.27058825 0.25490198 0.25882354 0.22352941 0.17254902 0.15686275 0.12941177 0.11764706 0.07843138 0. 0. 0. 0. 0.11372549 0.25882354 0.09803922 0.2901961 0.49019608 0.5254902 0.5411765 0.5137255 0.5254902 0.5254902 0.5647059 0.6117647 0.6509804 0.6862745 0.68235296 0.6901961 0.6784314 0.7176471 0.7176471 0.73333335 0.85882354 0.90588236 0.84313726 0.85490197 0.88235295 0.8666667 0.8627451 0.92156863 0.8980392 0.9098039 0.9372549 0.95686275 0.9882353 0.9490196 0.93333334 0.8745098 0.8980392 0.84705883 0.8392157 0.8862745 0.87058824 0.90588236 0.9098039 0.91764706 0.8784314 0.8901961 0.87058824 0.8509804 0.8862745 0.90588236 0.9254902 0.8666667 0.85882354 0.8352941 0.8392157 0.8784314 0.89411765 0.9098039 0.91764706 0.972549 0.94509804 0.9254902 0.9137255 0.85882354 0.8666667 0.89411765 0.92156863 0.8509804 0.77254903 0.7176471 0.7176471 0.7372549 0.7058824 0.6862745 0.69411767 0.7019608 0.67058825 0.6862745 0.6784314 0.6392157 0.58431375 0.62352943 0.6666667 0.63529414 0.5764706 0.57254905 0.6117647 0.6039216 0.58431375 0.50980395 0.5568628 0.49803922 0.29411766 0.32156864 0.36862746 0.3764706 0.42352942 0.43137255 0.4392157 0.46666667 0.48235294 0.4862745 0.49019608 0.5058824 0.5058824 0.5058824 0.49019608 0.48235294 0.5647059 0.5647059 0.5686275 0.56078434 0.5803922 0.5686275 0.5647059 0.56078434 0.54901963 0.5254902 0.5254902 0.48235294 0.49803922 0.5176471 0.5176471 0.5372549 0.5647059 0.53333336 0.5568628 0.54509807 0.46666667 0.4117647 0.39215687 0.3529412 0.4 0.39607844 0.4117647 0.4117647 0.4 0.38431373 0.39607844 0.36862746 0.36862746 0.3529412 0.3529412 0.3372549 0.32156864 0.32941177 0.30588236 0.27058825 0.24705882 0.22352941 0.16862746 0.14901961 0.14509805 0.13333334 0.11372549 0.09803922 0.09019608 0.03921569 0. 0. 0. 0. 0. 0. ] Instance: 9 ============ [0. 0. 0. 0.01176471 0.04705882 0.10196079 0.14117648 0.16470589 0.21568628 0.21960784 0.24705882 0.27058825 0.26666668 0.2784314 0.3019608 0.31764707 0.31764707 0.32156864 0.3137255 0.31764707 0.30588236 0.3372549 0.3254902 0.3529412 0.5764706 0.5019608 0.49803922 0.5294118 0.49019608 0.48235294 0.45882353 0.4627451 0.49411765 0.49019608 0.47058824 0.49019608 0.49803922 0.48235294 0.5647059 0.45490196 0.3529412 0.3372549 0.3647059 0.3647059 0.37254903 0.37254903 0.36862746 0.36862746 0.40784314 0.4 0.41568628 0.4 0.42745098 0.41960785 0.4117647 0.41960785 0.4 0.39607844 0.3764706 0.3764706 0.3372549 0.3137255 0.27058825 0.25490198 0.21960784 0.18039216 0.15294118 0.1254902 0.10196079 0.10588235 0.18431373 0.24313726 0.27450982 0.3882353 0.4627451 0.54509807 0.5254902 0.5568628 0.58431375 0.5764706 0.57254905 0.59607846 0.6117647 0.627451 0.6431373 0.627451 0.6392157 0.6313726 0.6509804 0.6509804 0.64705884 0.654902 0.654902 0.6862745 0.7137255 0.70980394 0.7254902 0.7176471 0.77254903 0.7882353 0.78039217 0.78431374 0.7372549 0.69803923 0.7019608 0.70980394 0.6666667 0.6431373 0.64705884 0.61960787 0.6 0.58431375 0.6039216 0.6392157 0.61960787 0.6156863 0.65882355 0.6313726 0.64705884 0.6627451 0.63529414 0.64705884 0.627451 0.6156863 0.627451 0.69411767 0.6901961 0.6901961 0.6784314 0.63529414 0.58431375 0.5764706 0.5411765 0.5137255 0.45882353 0.4392157 0.44313726 0.43137255 0.42745098 0.43137255 0.43529412 0.43137255 0.41960785 0.39215687 0.4117647 0.39607844 0.35686275 0.3529412 0.3019608 0.3137255 0.3137255 0.26666668 0.23137255 0.21960784 0.21960784 0.14117648 0. 0. 0.12941177 0.1764706 0.21176471 0.2 0.22745098 0.21568628 0.22745098 0.27450982 0.29411766 0.32156864 0.32156864 0.35686275 0.38039216 0.38039216 0.40392157 0.4 0.39607844 0.38431373 0.38039216 0.39215687 0.36862746 0.35686275 0.36862746 0.3529412 0.34509805 0.3254902 0.3254902 0.29411766 0.3019608 0.4 0.42745098 0.46666667 0.4509804 0.4745098 0.4627451 0.44313726 0.4745098 0.44705883 0.42352942 0.42352942 0.4745098 0.4627451 0.44705883 0.4627451 0.5019608 0.5411765 0.29803923 0.28627452 0.29803923 0.29803923 0.29803923 0.27450982 0.27450982 0.2901961 0.28235295 0.27450982 0.26666668 0.24705882 0.23137255 0.21568628 0.20784314 0.1764706 0.16862746 0.14509805 0.11372549 0.09019608] Instance: 10 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01960784 0.09803922 0.13725491 0.18039216 0.22745098 0.23529412 0.3019608 0.34117648 0.3647059 0.3882353 0.41960785 0.42745098 0.43137255 0.44705883 0.4627451 0.45882353 0.44313726 0.45882353 0.5019608 0.4862745 0.49803922 0.48235294 0.5058824 0.5294118 0.53333336 0.5647059 0.58431375 0.63529414 0.59607846 0.5803922 0.62352943 0.7019608 0.7647059 0.7019608 0.6627451 0.6627451 0.654902 0.5803922 0.5372549 0.5176471 0.5686275 0.5568628 0.50980395 0.54901963 0.50980395 0.5137255 0.5764706 0.58431375 0.67058825 0.654902 0.6627451 0.6784314 0.6509804 0.6509804 0.7254902 0.61960787 0.6117647 0.6392157 0.56078434 0.5372549 0.54901963 0.5137255 0.5254902 0.54901963 0.5568628 0.49019608 0.48235294 0.4627451 0.44705883 0.45882353 0.45490196 0.45490196 0.41568628 0.40784314 0.39215687 0.35686275 0.3529412 0.35686275 0.2901961 0.24313726 0.20392157 0.18039216 0.12941177 0.09803922 0.08235294 0.05882353 0.03921569 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 11 ============ [0.5686275 0.00784314 0.00784314 0.01960784 0.18039216 0.08235294 0.13725491 0.10588235 0.03921569 0.5647059 0.07058824 0.10588235 0.14509805 0.2 0.20392157 0.21568628 0.2901961 0.29411766 0.2784314 0.27450982 0.2901961 0.34117648 0.33333334 0.33333334 0.32941177 0.29411766 0.3372549 0.32941177 0.28627452 0.30980393 0.34509805 0.5686275 0.5411765 0.5176471 0.45882353 0.48235294 0.5058824 0.7764706 0.54901963 0.58431375 0.5294118 0.34901962 0.3254902 0.30980393 0.3137255 0.3372549 0.3019608 0.28235295 0.2901961 0.2784314 0.28235295 0.2627451 0.22352941 0.21176471 0.19607843 0.1764706 0.1764706 0.18431373 0.18039216 0.15686275 0.16470589 0.11764706 0.10980392 0.09803922 0.09411765 0.09803922 0.08627451 0.07843138 0.06666667 0.06666667 0.02352941 0. 0. 0. 0. 0. 0.00392157 0.02352941 0.03921569 0.26666668 0.49803922 0.5019608 0.52156866 0.5372549 0.33333334 0.59607846 0.6117647 0.6 0.6117647 0.63529414 0.6509804 0.6509804 0.6784314 0.6784314 0.67058825 0.6901961 0.7254902 0.7294118 0.72156864 0.7254902 0.7294118 0.74509805 0.73333335 0.74509805 0.74509805 0.7490196 0.73333335 0.7372549 0.7372549 0.7411765 0.7411765 0.73333335 0.39215687 0.7254902 0.7058824 0.69803923 0.6862745 0.6901961 0.7058824 0.72156864 0.72156864 0.72156864 0.70980394 0.69803923 0.7058824 0.69411767 0.6784314 0.65882355 0.654902 0.6509804 0.6509804 0.6431373 0.67058825 0.6431373 0.6666667 0.6627451 0.654902 0.6431373 0.6117647 0.61960787 0.92941177 0.62352943 0.61960787 0.5921569 0.6 0.58431375 0.5529412 0.5254902 0.5058824 0.49803922 0.45490196 0.27058825 0.22745098 0.2 0.11372549 0.09411765 0.04313726 0. 0.00784314 0.03137255 0.05882353 0.07058824 0.07843138 0.09803922 0.10980392 0.11764706 0.10980392 0.16078432 0.60784316 0.19215687 0.1764706 0.19215687 0.19215687 0.20392157 0.20392157 0.20392157 0.2 0.19607843 0.20392157 0.22352941 0.20392157 0.23137255 0.23529412 0.25490198 0.25490198 0.27450982 0.2627451 0.20392157 0.25882354 0.34901962 0.5254902 0.59607846 0.4862745 0.47058824 0.4862745 0.44705883 0.44313726 0.48235294 0.5921569 0.4392157 0.24705882 0.25490198 0.25882354 0.24705882 0.26666668 0.2509804 0.25490198 0.24313726 0.25490198 0.22745098 0.2 0.2 0.18431373 0.14901961 0.10980392 0.21960784 0.14117648 0.13333334 0.11372549 0.16862746 0.2 0.16470589 0.20784314 0.11764706] Instance: 12 ============ [0.40784314 0. 0.04313726 0.04313726 0.0627451 0.07058824 0.09019608 0.08627451 0.09411765 0.10980392 0.12156863 0.11764706 0.12941177 0.11372549 0.12156863 0.12156863 0.33333334 0.32156864 0.3372549 0.25882354 0.2901961 0.28235295 0.27450982 0.2627451 0.29411766 0.28627452 0.29803923 0.2627451 0.26666668 0.25490198 0.3019608 0.54509807 0.3372549 0.32941177 0.5137255 0.34509805 0.22352941 0.19215687 0.20392157 0.01960784 0.20784314 0.23921569 0.22352941 0.21960784 0.20784314 0.19607843 0.21176471 0.19607843 0.20392157 0.17254902 0.18039216 0.15294118 0.14509805 0.16078432 0.1254902 0.10980392 0.09803922 0.15294118 0.14509805 0.1254902 0.12941177 0.14509805 0.13725491 0.13725491 0.13725491 0.14901961 0.16078432 0.15294118 0.15686275 0.23137255 0.3019608 0.3137255 0.3529412 0.40392157 0.42352942 0.42745098 0.45882353 0.4509804 0.83137256 0.4745098 0.45490196 0.5254902 0.5764706 0.5882353 0.61960787 0.6117647 0.6 0.627451 0.62352943 0.6509804 0.64705884 0.6784314 0.6509804 0.6862745 0.6627451 0.68235296 0.6784314 0.654902 0.6627451 0.69411767 0.6627451 0.6509804 0.7019608 0.7058824 0.69411767 0.69803923 0.6745098 0.6627451 0.63529414 0.64705884 0.65882355 0.6627451 0.69411767 0.7019608 0.69411767 0.7058824 0.7019608 0.6862745 0.70980394 0.7137255 0.7137255 0.68235296 0.6862745 0.6627451 0.68235296 0.6784314 0.6666667 0.67058825 0.654902 0.6745098 0.6431373 0.654902 0.63529414 0.827451 0.6313726 0.6431373 0.61960787 0.60784316 0.5921569 0.5686275 0.54901963 0.31764707 0.5254902 0.49411765 0.49803922 0.48235294 0.49803922 0.50980395 0.48235294 0.45490196 0.4392157 0.4509804 0.40392157 0.41960785 0.42745098 0.39607844 0.2901961 0.07843138 0.04705882 0.0627451 0.0627451 0.07058824 0.07843138 0.10588235 0.10196079 0.13725491 0.12156863 0.16078432 0.1882353 0.19215687 0.20392157 0.21176471 0.17254902 0.17254902 0.19215687 0.21176471 0.21568628 0.21176471 0.21176471 0.2 0.2509804 0.21176471 0.19215687 0.18039216 0.21176471 0.19607843 0.21176471 0.5019608 0.2784314 0.29411766 0.24705882 0.25882354 0.27450982 0.23137255 0.2509804 0.19607843 0.09803922 0.23921569 0.27058825 0.33333334 0.3372549 0.3372549 0.09411765 0.10588235 0.10588235 0.11764706 0.10196079 0.10980392 0.10196079 0.10980392 0.09803922 0.06666667 0.04705882 0.05490196 0.05882353 0.04705882 0.03921569 0.03921569 0.02745098 0.03137255 0.01960784 0.01176471 0.00392157 0. ] Instance: 13 ============ [0.18431373 0.19215687 0.19607843 0.21176471 0.20784314 0.21960784 0.22745098 0.21176471 0.36078432 0.43137255 0.3372549 0.30588236 0.29411766 0.3137255 0.3137255 0.29411766 0.30588236 0.30980393 0.3372549 0.37254903 0.52156866 0.2901961 0.2 0.19607843 0.18039216 0.19215687 0.20392157 0.21960784 0.19215687 0.18039216 0.17254902 0.17254902 0.23529412 0.3647059 0.4117647 0.4509804 0.4627451 0.45490196 0.4862745 0.49019608 0.5137255 0.53333336 0.54901963 0.5411765 0.52156866 0.50980395 0.49019608 0.49803922 0.4862745 0.4745098 0.4627451 0.47843137 0.48235294 0.38431373 0.2901961 0.38039216 0.40392157 0.41568628 0.4509804 0.52156866 0.5372549 0.65882355 0.8117647 0.8901961 0.91764706 0.9490196 0.9411765 0.9647059 0.93333334 0.9529412 0.87058824 0.83137256 0.88235295 0.8784314 0.8784314 0.827451 0.9098039 0.9529412 0.9647059 0.99215686 0.8862745 0.84705883 0.9019608 0.91764706 0.93333334 0.92156863 0.9098039 0.8980392 0.8666667 0.9372549 0.9019608 0.9137255 0.9019608 0.87058824 0.9254902 0.9529412 0.93333334 0.95686275 0.92156863 0.9372549 0.9254902 0.90588236 0.9254902 0.9411765 0.8901961 0.88235295 0.92941177 0.89411765 0.8784314 0.9490196 0.92941177 0.8980392 0.8862745 0.8666667 0.8901961 0.9372549 0.9882353 0.9882353 0.99215686 0.96862745 0.972549 0.972549 1. 0.95686275 0.8784314 0.7411765 0.7019608 0.6627451 0.6784314 0.64705884 0.6392157 0.64705884 0.654902 0.6313726 0.61960787 0.627451 0.64705884 0.6156863 0.59607846 0.5803922 0.5803922 0.5882353 0.5058824 0.4627451 0.4392157 0.48235294 0.48235294 0.39607844 0.26666668 0.13333334 0.09411765 0.14117648 0.1882353 0.19215687 0.21960784 0.22352941 0.2627451 0.28627452 0.3019608 0.29411766 0.30980393 0.30980393 0.33333334 0.31764707 0.34117648 0.32941177 0.32156864 0.31764707 0.3019608 0.30980393 0.34509805 0.44313726 0.48235294 0.4745098 0.5019608 0.44313726 0.44705883 0.41960785 0.43137255 0.4117647 0.36078432 0.34901962 0.3372549 0.3647059 0.3647059 0.3529412 0.37254903 0.26666668 0.23137255 0.23921569 0.21568628 0.23137255 0.2627451 0.2509804 0.23921569 0.23921569 0.23921569 0.23137255 0.19215687 0.14901961 0.16470589 0.16078432 0.15294118 0.15686275 0.1254902 0.10980392 0.10980392 0.10196079 0.09411765 0.08235294 0.06666667 0.07058824 0.05490196 0.01176471 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 14 ============ [0.3372549 0.37254903 0.40784314 0.41960785 0.43137255 0.44313726 0.4509804 0.47058824 0.4627451 0.4627451 0.46666667 0.49411765 0.49411765 0.47058824 0.49019608 0.5137255 0.7764706 0.7137255 0.67058825 0.64705884 0.6431373 0.64705884 0.64705884 0.6862745 0.78039217 0.72156864 0.5803922 0.47843137 0.48235294 0.4862745 0.49803922 0.4862745 0.5019608 0.49019608 0.47843137 0.49803922 0.4862745 0.4862745 0.49803922 0.4862745 0.49803922 0.49411765 0.5058824 0.49019608 0.4745098 0.4509804 0.44705883 0.44705883 0.40784314 0.4 0.3647059 0.30980393 0.27450982 0.23137255 0.23137255 0.1882353 0.16470589 0.13725491 0.09803922 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.07058824 0.13333334 0.18039216 0.21960784 0.23529412 0.28235295 0.3137255 0.32941177 0.32941177 0.34509805 0.39215687 0.4117647 0.43529412 0.45490196 0.46666667 0.47058824 0.47843137 0.52156866 0.5294118 0.5529412 0.59607846 0.6156863 0.7647059 0.77254903 0.70980394 0.75686276 0.79607844 0.8156863 0.7607843 0.78039217 0.75686276 0.7647059 0.78431374 0.7921569 0.7882353 0.7921569 0.7607843 0.78039217 0.78039217 0.78431374 0.7921569 0.79607844 0.7764706 0.7254902 0.73333335 0.7019608 0.7019608 0.7058824 0.63529414 0.6156863 0.61960787 0.5764706 0.6117647 0.63529414 0.65882355 0.67058825 0.69411767 0.6901961 0.6509804 0.6745098 0.70980394 0.62352943 0.6117647 0.6039216 0.627451 0.5882353 0.6156863 0.59607846 0.6 0.6117647 0.6117647 0.6117647 0.5882353 0.5803922 0.5568628 0.5137255 0.4862745 0.49803922 0.4392157 0.39215687 0.33333334 0.23137255 0.00392157 0. 0. 0. 0. 0. 0.03921569 0.07450981 0.14117648 0.13725491 0.1764706 0.22745098 0.25882354 0.2901961 0.33333334 0.3529412 0.37254903 0.41568628 0.41960785 0.42352942 0.44705883 0.44705883 0.46666667 0.47058824 0.46666667 0.47843137 0.49019608 0.47843137 0.48235294 0.47058824 0.46666667 0.45490196 0.46666667 0.48235294 0.47058824 0.47843137 0.4509804 0.4745098 0.45882353 0.4627451 0.59607846 0.79607844 0.7529412 0.65882355 0.6117647 0.61960787 0.6156863 0.62352943 0.6509804 0.7529412 0.7137255 0.5019608 0.47843137 0.4627451 0.4627451 0.45882353 0.47058824 0.4745098 0.46666667 0.4627451 0.45882353 0.45490196 0.45490196 0.45882353 0.43137255 0.43529412 0.41568628 0.4117647 0.39607844 0.34117648 0.32156864 0.29803923] Instance: 15 ============ [0.43529412 0.00392157 0.7921569 0.01568628 0. 0. 0. 0. 0. 0. 0.01960784 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.43137255 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01176471 0.00784314 0.03529412 0.05098039 0.06666667 0.09019608 0.10980392 0.14117648 0.14509805 0.17254902 0.18039216 0.23529412 0.24705882 0.25882354 0.24313726 0.31764707 0.40392157 0.41960785 0.39607844 0.45882353 0.7411765 0.7137255 0.69803923 0.7176471 0.72156864 0.7607843 0.7411765 0.7490196 0.7882353 0.7764706 0.7882353 0.8156863 0.9607843 0.8235294 0.81960785 0.81960785 0.77254903 0.76862746 0.7882353 0.78039217 0.77254903 0.7647059 0.76862746 0.4745098 0.7764706 0.7882353 0.7764706 0.8039216 0.8117647 0.8156863 0.8235294 0.8039216 0.83137256 0.8156863 0.81960785 0.8235294 0.78039217 0.7647059 0.76862746 0.7921569 0.8 0.80784315 0.80784315 0.78039217 0.7411765 0.80784315 0.7764706 0.78431374 0.8117647 0.8039216 0.78039217 0.8 0.7607843 0.78431374 0.79607844 0.8 0.80784315 0.80784315 0.8156863 0.8235294 0.8235294 0.80784315 0.79607844 0.8156863 0.79607844 0.7921569 0.8509804 0.7647059 0.7607843 0.7607843 0.7882353 0.75686276 0.73333335 0.7254902 0.7294118 0.70980394 0.7176471 0.16862746 0.6745098 0.6862745 0.64705884 0.6431373 0.627451 0.61960787 0.6117647 0.5764706 0.56078434 0.53333336 0.34117648 0.4627451 0.41960785 0.3764706 0.36862746 0.22745098 0.01960784 0. 0. 0. 0. 0.01568628 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.6745098 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.44313726 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0. 0. 0. 0. 0. 0. 0. ] Instance: 16 ============ [0.5686275 0.00392157 0.22352941 0.18039216 0.21568628 0.22352941 0.2627451 0.2509804 0.25490198 0.2627451 0.1882353 0.26666668 0.2784314 0.24313726 0.28627452 0.25490198 0.23137255 0.25882354 0.23921569 0.2627451 0.3647059 0.45490196 0.4509804 0.38431373 0.34901962 0.3529412 0.31764707 0.34509805 0.31764707 0.33333334 0.02745098 0.32941177 0.3529412 0.3647059 0.40392157 0.3647059 0.31764707 0.19215687 0.20784314 0.2 0.03137255 0.18039216 0.16862746 0.22745098 0.21960784 0.23137255 0.22352941 0.19215687 0.22745098 0.22352941 0.6745098 0.2 0.21176471 0.19215687 0.22352941 0.20392157 0.18039216 0.18039216 0.1764706 0.15686275 0.5372549 0.13725491 0.13725491 0.12941177 0.11764706 0.12156863 0.1254902 0.13725491 0.11372549 0.14117648 0.6431373 0.16078432 0.14117648 0.09803922 0.11372549 0.11764706 0.13333334 0.14901961 0.15686275 0.14509805 0.8 0.30588236 0.30980393 0.33333334 0.32941177 0.3137255 0.35686275 0.35686275 0.35686275 0.39607844 0.42352942 0.39607844 0.3764706 0.4117647 0.4 0.42745098 0.41568628 0.4117647 0.42352942 0.45882353 0.47843137 0.45490196 0.49803922 0.5294118 0.60784316 0.64705884 0.6392157 0.64705884 0.65882355 0.6862745 0.65882355 0.59607846 0.58431375 0.56078434 0.59607846 0.5372549 0.5372549 0.47843137 0.4862745 0.45490196 0.47058824 0.49411765 0.57254905 0.5372549 0.62352943 0.54901963 0.5372549 0.52156866 0.5176471 0.5254902 0.49803922 0.5647059 0.5254902 0.5294118 0.5294118 0.5647059 0.49019608 0.5137255 0.49019608 0.41960785 0.36078432 0.32941177 0.3137255 0.2509804 0.21176471 0.20392157 0.21960784 0.21176471 0.21176471 0.21176471 0.21176471 0.16862746 0.1882353 0.20392157 0.1882353 0.19607843 0.1882353 0.20392157 0.2 0.18431373 0.18431373 0.1882353 0.17254902 0.16862746 0.15294118 0.13333334 0.11372549 0.11764706 0.09019608 0.07058824 0.09411765 0.07450981 0.05098039 0.04705882 0.05882353 0.04313726 0.00392157 0.00784314 0.00392157 0.01960784 0.01176471 0.02745098 0.02352941 0.01176471 0.01960784 0.01960784 0.02352941 0.01176471 0.00784314 0.00392157 0.00392157 0. 0.04313726 0.08627451 0.0627451 0.06666667 0.05882353 0.05490196 0.05882353 0.07058824 0.05882353 0.04313726 0.0627451 0.04705882 0.04705882 0.04313726 0.05098039 0.07450981 0.06666667 0.05882353 0.0627451 0.18039216 0.0627451 0.06666667 0.07450981 0.07058824 0.08235294 0.09019608 0.07843138 0.07450981 0.04313726 0.05098039 0.0627451 0.0627451 ] Instance: 17 ============ [0.34117648 0.32156864 0.40392157 0.6509804 0.5803922 0.53333336 0.5137255 0.5294118 0.50980395 0.52156866 0.5137255 0.54509807 0.59607846 0.7607843 0.5176471 0.36078432 0.3764706 0.36862746 0.37254903 0.36078432 0.37254903 0.36078432 0.36078432 0.3372549 0.30980393 0.3529412 0.3529412 0.34117648 0.34509805 0.33333334 0.34509805 0.32941177 0.32156864 0.3019608 0.28627452 0.26666668 0.21960784 0.18431373 0.13725491 0.13725491 0.10196079 0.06666667 0.02352941 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01960784 0.07843138 0.12941177 0.16078432 0.19215687 0.23137255 0.2509804 0.28235295 0.2901961 0.32156864 0.3254902 0.34117648 0.34901962 0.36078432 0.38431373 0.40392157 0.43137255 0.7882353 0.8666667 0.7490196 0.72156864 0.72156864 0.75686276 0.7882353 0.7764706 0.8117647 0.7764706 0.87058824 0.8352941 0.85490197 0.8901961 0.8745098 0.9372549 0.9372549 0.9607843 0.9607843 0.8039216 0.7647059 0.78431374 0.8117647 0.827451 0.8 0.8235294 0.84705883 0.84313726 0.8235294 0.8392157 0.85490197 0.8901961 0.8627451 0.84313726 0.8117647 0.8509804 0.88235295 0.89411765 0.8784314 0.8666667 0.8862745 0.8509804 0.84313726 0.8901961 0.92156863 0.94509804 0.90588236 0.8745098 0.88235295 0.8862745 0.93333334 0.92156863 0.91764706 0.89411765 0.9098039 0.9372549 0.92941177 0.9098039 0.92156863 0.9607843 0.95686275 0.9019608 0.89411765 0.8901961 0.89411765 0.94509804 0.9254902 0.9372549 0.95686275 0.8862745 0.8901961 0.8627451 0.8666667 0.85490197 0.8745098 0.8509804 0.8235294 0.8156863 0.8117647 0.8117647 0.7921569 0.79607844 0.7764706 0.8 0.8039216 0.78039217 0.74509805 0.6156863 0.62352943 0.6156863 0.6117647 0.6039216 0.5686275 0.53333336 0.5137255 0.48235294 0.41960785 0.38039216 0.3647059 0.3254902 0.30980393 0.2901961 0.27450982 0.25490198 0.18039216 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.03529412 0.05882353 0.07450981 0.10196079 0.10588235 0.11764706 0.13725491 0.16470589 0.1882353 0.20784314 0.22745098 0.23921569 0.26666668 0.27450982 0.28235295 0.28627452 0.30980393 0.3019608 0.30980393 0.32941177 0.34117648 0.3372549 0.35686275 0.34117648 0.3529412 0.36078432 0.42745098] Instance: 18 ============ [0.14509805 0.16862746 0.1882353 0.19215687 0.18039216 0.19215687 0.19607843 0.1882353 0.21176471 0.19215687 0.21176471 0.20784314 0.22745098 0.22352941 0.23529412 0.2 0.18431373 0.27450982 0.5058824 0.38039216 0.38039216 0.34117648 0.3372549 0.3529412 0.36078432 0.3372549 0.36078432 0.34509805 0.38431373 0.43137255 0.5686275 0.39215687 0.28235295 0.18431373 0.19607843 0.23921569 0.24313726 0.2627451 0.25490198 0.27058825 0.25882354 0.25490198 0.25490198 0.25882354 0.23529412 0.45490196 0.5921569 0.6 0.60784316 0.627451 0.60784316 0.60784316 0.5803922 0.5686275 0.53333336 0.53333336 0.5058824 0.5019608 0.50980395 0.53333336 0.5254902 0.56078434 0.62352943 0.62352943 0.6117647 0.58431375 0.61960787 0.61960787 0.6117647 0.62352943 0.79607844 0.87058824 0.8352941 0.7921569 0.7411765 0.8235294 0.8235294 0.8 0.7882353 0.7921569 0.75686276 0.80784315 0.8117647 0.84313726 0.79607844 0.8039216 0.8509804 0.92156863 0.9411765 0.9372549 0.8980392 0.9529412 0.88235295 0.84705883 0.90588236 0.91764706 0.84313726 0.8352941 0.79607844 0.87058824 0.85490197 0.84705883 0.84705883 0.8901961 0.8745098 0.8745098 0.8509804 0.8784314 0.7372549 0.75686276 0.8745098 0.90588236 0.8901961 0.81960785 0.8117647 0.76862746 0.90588236 0.8862745 0.87058824 0.9254902 0.92156863 0.8862745 0.91764706 0.84705883 0.8862745 0.81960785 0.8980392 0.8745098 0.88235295 0.8352941 0.827451 0.79607844 0.7764706 0.83137256 0.83137256 0.7882353 0.7882353 0.8392157 0.85490197 0.84705883 0.7372549 0.65882355 0.6784314 0.654902 0.65882355 0.6313726 0.6117647 0.6 0.6117647 0.6117647 0.59607846 0.5686275 0.5294118 0.49411765 0.4392157 0.5647059 0.54901963 0.4392157 0.3882353 0.47058824 0.4862745 0.45490196 0.27058825 0.1764706 0.20392157 0.23529412 0.26666668 0.30588236 0.29411766 0.3254902 0.34509805 0.33333334 0.34509805 0.34509805 0.3529412 0.34117648 0.34117648 0.32941177 0.34509805 0.33333334 0.30588236 0.27058825 0.27058825 0.2784314 0.24313726 0.23921569 0.23529412 0.22745098 0.5921569 0.5686275 0.39607844 0.4117647 0.4 0.3764706 0.39607844 0.38039216 0.33333334 0.4 0.39215687 0.41960785 0.44705883 0.4509804 0.5254902 0.29411766 0.25490198 0.25882354 0.27058825 0.26666668 0.27058825 0.27450982 0.25490198 0.25490198 0.24313726 0.25882354 0.2627451 0.24313726 0.21960784 0.22745098 0.18039216 0.17254902 0.15294118 0.13725491 0.10980392 0.07843138] Instance: 19 ============ [0.41960785 0.00392157 0.8235294 0.16470589 0.16862746 0.18039216 0.1882353 0.20392157 0.21176471 0.21960784 0.23137255 0.20392157 0.23529412 0.22745098 0.24313726 0.24313726 0.22352941 0.23137255 0.20784314 0.22352941 0.21960784 0.19215687 0.2 0.1882353 0.18431373 0.17254902 0.19215687 0.36862746 0.4392157 0.38039216 0.34901962 0.32941177 0.34509805 0.3372549 0.3529412 0.36078432 0.34509805 0.41568628 0.32156864 0.21176471 0.2 0.41960785 0.5019608 0.80784315 0.5882353 0.6509804 0.6313726 0.6784314 0.6666667 0.6784314 0.6666667 0.68235296 0.7058824 0.70980394 0.9529412 0.69411767 0.7254902 0.7372549 0.73333335 0.7411765 0.7254902 0.73333335 0.7411765 0.7411765 0.7372549 0.10588235 0.7529412 0.7294118 0.74509805 0.7137255 0.74509805 0.7647059 0.7254902 0.7254902 0.77254903 0.7372549 0.2784314 0.7176471 0.70980394 0.7137255 0.77254903 0.7764706 0.7254902 0.69803923 0.7058824 0.7490196 0.7647059 0.80784315 0.8 0.80784315 0.79607844 0.78431374 0.8117647 0.8039216 0.78431374 0.8117647 0.84313726 0.8117647 0.85882354 0.8392157 0.827451 0.85490197 0.8352941 0.827451 0.7882353 0.8039216 0.7882353 0.8 0.8039216 0.77254903 0.7764706 0.78431374 0.81960785 0.78431374 0.7764706 0.80784315 0.79607844 0.8156863 0.79607844 0.8352941 0.8156863 0.84313726 0.85882354 0.8117647 0.8039216 0.8156863 0.84313726 0.84313726 0.8392157 0.8627451 0.9647059 0.8509804 0.827451 0.8156863 0.8 0.827451 0.81960785 0.80784315 0.8627451 0.84705883 0.8235294 0.8745098 0.8039216 0.84313726 0.827451 0.81960785 0.8235294 0.8156863 0.8117647 0.8039216 0.8392157 0.8117647 0.31764707 0.8156863 0.8039216 0.87058824 0.8392157 0.8 0.8117647 0.8352941 0.8392157 0.827451 0.85490197 0.53333336 0.8235294 0.8 0.84313726 0.8509804 0.85490197 0.8352941 0.8352941 0.8352941 0.8352941 0.84705883 0.8235294 0.83137256 0.84705883 0.8156863 0.84313726 0.8392157 0.8235294 0.8352941 0.827451 0.8156863 0.8039216 0.8627451 0.8117647 0.80784315 0.8352941 0.8117647 0.8156863 0.8039216 0.7882353 0.8 0.80784315 0.7921569 0.8 0.76862746 0.78039217 0.7764706 0.7882353 0.77254903 0.76862746 0.7882353 0.79607844 0.78431374 0.7764706 0.7764706 0.7490196 0.77254903 0.79607844 0.78431374 0.78039217 0.78431374 0.7882353 0.8 0.79607844 0.8745098 0.78431374 0.78039217 0.8117647 0.78039217 0.80784315 0.79607844] Instance: 20 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.03137255 0.04705882 0.0627451 0.07843138 0.10588235 0.1254902 0.14117648 0.16078432 0.1882353 0.21960784 0.5137255 0.6156863 0.5529412 0.53333336 0.49803922 0.54509807 0.53333336 0.54901963 0.6313726 0.7490196 0.63529414 0.78431374 0.85882354 0.75686276 0.84705883 0.69411767 0.7137255 0.7137255 0.74509805 0.78431374 0.6509804 0.74509805 0.8039216 0.78431374 0.7411765 0.7254902 0.6627451 0.68235296 0.6392157 0.6392157 0.6627451 0.64705884 0.627451 0.6117647 0.6039216 0.5921569 0.6039216 0.58431375 0.5921569 0.58431375 0.54901963 0.5686275 0.56078434 0.6313726 0.6431373 0.654902 0.6431373 0.70980394 0.6627451 0.6784314 0.6862745 0.6745098 0.7019608 0.7372549 0.8117647 0.8039216 0.78039217 0.80784315 0.75686276 0.79607844 0.79607844 0.8156863 0.827451 0.8117647 0.83137256 0.84313726 0.89411765 0.8745098 0.85490197 0.85882354 0.84313726 0.80784315 0.8392157 0.84705883 0.8862745 0.8901961 0.88235295 0.92156863 0.92156863 0.9411765 0.99607843 1. 0.99607843 0.9647059 0.92941177 0.9372549 0.9254902 0.89411765 0.8666667 0.80784315 0.8156863 0.80784315 0.8352941 0.87058824 0.85882354 0.8509804 0.8509804 0.8039216 0.77254903 0.78431374 0.7607843 0.7294118 0.7411765 0.77254903 0.7607843 0.7647059 0.7647059 0.77254903 0.7921569 0.75686276 0.7372549 0.7490196 0.7254902 0.70980394 0.72156864 0.7254902 0.7176471 0.69803923 0.69411767 0.6862745 0.6862745 0.6431373 0.67058825 0.6431373 0.64705884 0.6117647 0.61960787 0.58431375 0.5764706 0.58431375 0.5568628 0.49411765 0.45882353 0.37254903 0.3137255 0.29803923 0.28627452 0.2627451 0.25490198 0.23137255 0.12941177 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 21 ============ [0.07058824 0.07058824 0.05490196 0.05098039 0.05490196 0.07843138 0.07843138 0.07450981 0.11764706 0.16470589 0.12941177 0.14901961 0.38039216 0.47058824 0.4117647 0.35686275 0.36078432 0.32941177 0.35686275 0.34901962 0.29411766 0.3372549 0.34509805 0.3764706 0.3529412 0.4 0.39215687 0.40392157 0.28627452 0.3019608 0.38039216 0.49019608 0.47843137 0.49019608 0.5254902 0.5647059 0.58431375 0.5882353 0.62352943 0.6039216 0.5803922 0.6666667 0.69411767 0.67058825 0.67058825 0.6156863 0.6431373 0.62352943 0.67058825 0.65882355 0.654902 0.654902 0.65882355 0.6901961 0.6431373 0.6509804 0.63529414 0.6 0.5686275 0.5411765 0.5372549 0.57254905 0.5803922 0.62352943 0.6 0.627451 0.6313726 0.6117647 0.6431373 0.627451 0.61960787 0.63529414 0.6509804 0.6745098 0.6666667 0.6392157 0.6392157 0.6627451 0.7176471 0.6862745 0.6901961 0.6392157 0.6 0.6 0.5921569 0.6 0.5921569 0.6039216 0.67058825 0.68235296 0.6392157 0.627451 0.6156863 0.61960787 0.6313726 0.627451 0.63529414 0.6039216 0.627451 0.64705884 0.58431375 0.6117647 0.5803922 0.62352943 0.64705884 0.6784314 0.6784314 0.68235296 0.61960787 0.6509804 0.6431373 0.59607846 0.6666667 0.64705884 0.6156863 0.58431375 0.6117647 0.6 0.5803922 0.56078434 0.5411765 0.50980395 0.49803922 0.4745098 0.4509804 0.4 0.28235295 0.3137255 0.34509805 0.32941177 0.3137255 0.34117648 0.3529412 0.3529412 0.3372549 0.3254902 0.3372549 0.33333334 0.36862746 0.33333334 0.34901962 0.3372549 0.34117648 0.4 0.47058824 0.44705883 0.4627451 0.45882353 0.46666667 0.47058824 0.47058824 0.38039216 0.3764706 0.38431373 0.36078432 0.36078432 0.3647059 0.36862746 0.39215687 0.37254903 0.4117647 0.39607844 0.3529412 0.33333334 0.4 0.43529412 0.40392157 0.3882353 0.3764706 0.36078432 0.43137255 0.44313726 0.47058824 0.49019608 0.48235294 0.49019608 0.47058824 0.44705883 0.45490196 0.45490196 0.4745098 0.44313726 0.4392157 0.43137255 0.4392157 0.42745098 0.4 0.38431373 0.3764706 0.29803923 0.27450982 0.28235295 0.25882354 0.2627451 0.2784314 0.27058825 0.25490198 0.23921569 0.23921569 0.24313726 0.25882354 0.23921569 0.1882353 0.1882353 0.18431373 0.16078432 0.13725491 0.09019608 0.06666667 0.06666667 0.06666667 0.04705882 0.03529412 0.10980392 0.09019608 0.10588235 0.12156863 0.07843138 0.04705882 0. 0. 0. 0. 0. ] Instance: 22 ============ [0.16862746 0.19607843 0.21960784 0.23529412 0.2509804 0.25490198 0.25882354 0.28627452 0.3019608 0.29803923 0.31764707 0.33333334 0.34509805 0.3529412 0.35686275 0.37254903 0.3882353 0.4 0.4117647 0.7176471 0.44313726 0.4627451 0.45490196 0.45490196 0.46666667 0.47058824 0.4862745 0.5254902 0.6313726 0.3137255 0.6117647 0.5882353 0.59607846 0.6 0.59607846 0.6039216 0.60784316 0.6156863 0.6117647 0.627451 0.6156863 0.61960787 0.64705884 0.67058825 0.63529414 0.5803922 0.5647059 0.5647059 0.57254905 0.57254905 0.5529412 0.5568628 0.5411765 0.5137255 0.49803922 0.49411765 0.47843137 0.45490196 0.4392157 0.4392157 0.43529412 0.4117647 0.3647059 0.3254902 0.3019608 0.2784314 0.27058825 0.25882354 0.19607843 0.15294118 0.14117648 0.15294118 0.21960784 0.07450981 0.1254902 0.12156863 0.18431373 0.2509804 0.3019608 0.30588236 0.3137255 0.31764707 0.3372549 0.39215687 0.4 0.43529412 0.4509804 0.46666667 0.49411765 0.52156866 0.5254902 0.5411765 0.5686275 0.5764706 0.5882353 0.6039216 0.61960787 0.2 0.69803923 0.7137255 0.74509805 0.7411765 0.75686276 0.75686276 0.7372549 0.7411765 0.72156864 0.7294118 0.72156864 0.7137255 0.69803923 0.6862745 0.6745098 0.6862745 0.70980394 0.7019608 0.7058824 0.7137255 0.7019608 0.70980394 0.7372549 0.7058824 0.65882355 0.6745098 0.68235296 0.7176471 0.83137256 0.7294118 0.7411765 0.7882353 0.7529412 0.7372549 0.72156864 0.69803923 0.6901961 0.7019608 0.6901961 0.69411767 0.69803923 0.6431373 0.6156863 0.5921569 0.58431375 0.57254905 0.5647059 0.5568628 0.53333336 0.5176471 0.49803922 0.4862745 0.44313726 0.44313726 0.42352942 0.39215687 0.3372549 0.32941177 0.24705882 0.2784314 0.27450982 0.27450982 0.7411765 0.73333335 0.7529412 0.24313726 0.23921569 0.41568628 0.24705882 0.22745098 0.31764707 0.3372549 0.3647059 0.39607844 0.43137255 0.45490196 0.45882353 0.4627451 0.4862745 0.5254902 0.5372549 0.54901963 0.5529412 0.5764706 0.57254905 0.57254905 0.57254905 0.5764706 0.57254905 0.5686275 0.5686275 0.5529412 0.5647059 0.56078434 0.6431373 0.6784314 0.94509804 0.627451 0.62352943 0.62352943 0.627451 0.61960787 0.6039216 0.6039216 0.61960787 0.62352943 0.3254902 0.6431373 0.6627451 0.5176471 0.5058824 0.5019608 0.4862745 0.49019608 0.47058824 0.45882353 0.4392157 0.42745098 0.4117647 0.4 0.38431373 0.3647059 0.33333334 0.32156864 0.01176471 0.3019608 ] Instance: 23 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01176471 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.8509804 0.01176471 0.08235294 0.1254902 0.16862746 0.22745098 0.23529412 0.25882354 0.25490198 0.27058825 0.05098039 0.33333334 0.36862746 0.40392157 0.45882353 0.45490196 0.4627451 0.5058824 0.5568628 0.5921569 0.5921569 0.627451 0.64705884 0.6313726 0.6431373 0.81960785 0.76862746 0.75686276 0.77254903 0.7921569 0.8117647 0.8 0.8392157 0.85490197 0.84705883 0.84313726 0.81960785 0.827451 0.84705883 0.43137255 0.8509804 0.84705883 0.8745098 0.8666667 0.8627451 0.85490197 0.85882354 0.8627451 0.84705883 0.7529412 0.87058824 0.88235295 0.8784314 0.8784314 0.8901961 0.88235295 0.8901961 0.8784314 0.87058824 0.87058824 0.8784314 0.8745098 0.87058824 0.87058824 0.87058824 0.84705883 0.85490197 0.87058824 0.8352941 0.8509804 0.85882354 0.8666667 0.85882354 0.8509804 0.84313726 0.827451 0.827451 0.8235294 0.23921569 0.827451 0.8352941 0.85882354 0.84705883 0.80784315 0.80784315 0.8039216 0.7764706 0.7490196 0.7254902 0.7294118 0.72156864 0.6901961 0.6745098 0.6666667 0.6431373 0.6392157 0.6313726 0.59607846 0.5529412 0.28627452 0.21176471 0.18431373 0.14509805 0.10196079 0.07843138 0.07450981 0.07450981 0.7254902 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01960784 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.01568628 0.01176471 0.01960784 0.02745098 0.03921569 0.04313726 0.03921569 0.04313726 0.04705882 0.2 0.09803922 0.10196079 0.12156863 0.13725491 0.14901961 0.16862746 0.1882353 0.20784314 0.2 0.5764706 0.24705882 0.27450982 0.3019608 0.30588236 0.28627452 0.28235295 0.29411766 0.30588236 0.2901961 0.30588236 0.3137255 0.27058825 0.29411766 0.29411766 0.27058825 0.29411766 0.2784314 0.2509804 0.26666668 0.23137255 0.23921569 0.23137255 0.23921569 0.2509804 0.26666668 0.2509804 0.2627451 0.29803923 0.90588236 0.48235294 0.5529412 0.5411765 0.52156866 0.5254902 0.45490196 0.4745098 0.41568628 0.42352942 0.08627451 0.43529412 0.41960785 0.4117647 0.42745098 0.4627451 0.54901963 0.5372549 0.39215687 0.18039216 0.18431373 0.18431373 0.19607843 0.15686275 0.14509805 0.14901961 0.15294118 0.13333334 0.16470589 0.15294118] Instance: 24 ============ [0.43137255 0.00392157 0.30980393 0.4 0.38039216 0.42352942 0.45882353 0.49411765 0.45882353 0.36862746 0.3372549 0.29411766 0.16470589 0.19607843 0.20784314 0.18431373 0.19607843 0.19215687 0.20784314 0.21568628 0.23921569 0.23137255 0.23137255 0.24705882 0.24705882 0.24705882 0.23921569 0.23921569 0.23529412 0.22745098 0.24313726 0.23529412 0.23137255 0.23921569 0.18431373 0.29803923 0.16078432 0.16078432 0.16470589 0.14117648 0.13725491 0.11372549 0.20392157 0.27058825 0.30588236 0.30588236 0.3137255 0.43529412 0.29411766 0.31764707 0.28627452 0.29411766 0.29803923 0.31764707 0.2901961 0.28627452 0.22745098 0.33333334 0.39607844 0.01568628 0.48235294 0.49019608 0.5254902 0.53333336 0.5686275 0.60784316 0.58431375 0.627451 0.72156864 0.73333335 0.7019608 0.7058824 0.72156864 0.74509805 0.73333335 0.7372549 0.7529412 0.75686276 0.7490196 0.76862746 0.74509805 0.75686276 0.7764706 0.78039217 0.78039217 0.7921569 0.78039217 0.8 0.78039217 0.7490196 0.7490196 0.7764706 0.7490196 0.7490196 0.7764706 0.74509805 0.7490196 0.7647059 0.75686276 0.77254903 0.7607843 0.7647059 0.7529412 0.7647059 0.7058824 0.74509805 0.84313726 0.7529412 0.74509805 0.75686276 0.74509805 0.76862746 0.75686276 0.7411765 0.7294118 0.75686276 0.77254903 0.79607844 0.15294118 0.7764706 0.78039217 0.7607843 0.7921569 0.7529412 0.7529412 0.7647059 0.7529412 0.74509805 0.7411765 0.7176471 0.21568628 0.7058824 0.7019608 0.68235296 0.7137255 0.7137255 0.73333335 0.6901961 0.6039216 0.57254905 0.5921569 0.60784316 0.5921569 0.5411765 0.5254902 0.5176471 0.5019608 0.50980395 0.48235294 0.4745098 0.5019608 0.46666667 0.4627451 0.39607844 0.5019608 0.5058824 0.4862745 0.4392157 0.4117647 0.43529412 0.4745098 0.47843137 0.49019608 0.4627451 0.42745098 0.5411765 0.24313726 0.2509804 0.23921569 0.24313726 0.27058825 0.2627451 0.2784314 0.2784314 0.2901961 0.32941177 0.30980393 0.7921569 0.34509805 0.31764707 0.30588236 0.2784314 0.27450982 0.2627451 0.2627451 0.25882354 0.27450982 0.33333334 0.3529412 0.0627451 0.34117648 0.38431373 0.37254903 0.34901962 0.34509805 0.3254902 0.3647059 0.33333334 0.3254902 0.31764707 0.28627452 0.17254902 0.28627452 0.32156864 0.3254902 0.40784314 0.2 0.14117648 0.1254902 0.12941177 0.11764706 0.10196079 0.13725491 0.09803922 0.10196079 0.08627451 0.08627451 0.09803922 0.07843138 0.05882353 0.06666667 0.04705882 0.04705882 0.04313726] Instance: 25 ============ [0.28627452 0.34509805 0.38039216 0.38431373 0.40784314 0.42745098 0.44313726 0.42745098 0.41568628 0.44313726 0.44313726 0.58431375 0.63529414 0.6392157 0.63529414 0.6117647 0.5803922 0.5568628 0.5764706 0.5647059 0.5764706 0.5647059 0.6 0.5921569 0.5764706 0.56078434 0.38039216 0.36862746 0.34901962 0.35686275 0.37254903 0.36862746 0.34117648 0.32941177 0.34117648 0.3647059 0.35686275 0.37254903 0.37254903 0.36862746 0.37254903 0.34901962 0.3647059 0.34117648 0.32941177 0.3137255 0.2901961 0.2784314 0.25882354 0.23137255 0.23529412 0.21960784 0.14901961 0.16862746 0.13725491 0.11372549 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.06666667 0.09803922 0.14509805 0.2 0.23529412 0.30588236 0.35686275 0.42352942 0.43137255 0.4745098 0.47843137 0.5019608 0.5137255 0.5058824 0.52156866 0.5137255 0.5294118 0.61960787 0.5921569 0.5764706 0.627451 0.6 0.63529414 0.64705884 0.6156863 0.6627451 0.67058825 0.59607846 0.64705884 0.654902 0.6509804 0.58431375 0.56078434 0.5568628 0.5647059 0.5647059 0.5764706 0.6156863 0.69803923 0.7176471 0.7411765 0.68235296 0.64705884 0.6431373 0.654902 0.6862745 0.7176471 0.69803923 0.6862745 0.65882355 0.65882355 0.62352943 0.58431375 0.5803922 0.5568628 0.49411765 0.49411765 0.47843137 0.47058824 0.45882353 0.44313726 0.43529412 0.40784314 0.3882353 0.3647059 0.3254902 0.3019608 0.2901961 0.25882354 0.23921569 0.2 0.13725491 0.04313726 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0. 0.01176471 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.05490196 0.07058824 0.08627451 0.1254902 0.18039216 0.20784314 0.23529412 0.27058825 0.27450982 0.30588236 0.3254902 0.33333334 0.34901962 0.36862746 0.38431373 0.40784314 0.41568628 0.42352942 0.41960785 0.37254903 0.39215687 0.38431373 0.3882353 0.37254903 0.35686275 0.39607844 0.39607844 0.38431373 0.39607844 0.40392157 0.39607844 0.44313726 0.5529412 0.5803922 0.5647059 0.5764706 0.57254905 0.5411765 0.5647059 0.5411765 0.5529412 0.5411765 0.54901963 0.5921569 0.6431373 0.4 0.3882353 ] Instance: 26 ============ [0.4392157 0. 0.53333336 0.23137255 0.16470589 0.17254902 0.1882353 0.1882353 0.19215687 0.19607843 0.20784314 0.03921569 0.2784314 0.25882354 0.23529412 0.2509804 0.26666668 0.26666668 0.26666668 0.28627452 0.32941177 0.3372549 0.3372549 0.34901962 0.34509805 0.34509805 0.35686275 0.34509805 0.3254902 0.41960785 0.3647059 0.3372549 0.30980393 0.5137255 0.3019608 0.2901961 0.30588236 0.29411766 0.3137255 0.3529412 0.32941177 0.29803923 0.28627452 0.20784314 0.19215687 0.2 0.1882353 0.19607843 0.18431373 0.1882353 0.19215687 0.20784314 0.2 0.20392157 0.20784314 0.20392157 0.20392157 0.20784314 0.2 0.20784314 0.2 0.2 0.1764706 0.18039216 0.18431373 0.18039216 0.16078432 0.15686275 0.15686275 0.15686275 0.15686275 0.15686275 0.16078432 0.16078432 0.16470589 0.16078432 0.17254902 0.10588235 0.02745098 0.05882353 0.07450981 0.06666667 0.06666667 0.0627451 0.05490196 0.00392157 0.14901961 0.16470589 0.1764706 0.06666667 0.1882353 0.1882353 0.18431373 0.21568628 0.24705882 0.28627452 0.4627451 0.57254905 0.57254905 0.6117647 0.9764706 0.63529414 0.6509804 0.65882355 0.6627451 0.6784314 0.6745098 0.67058825 0.68235296 0.69411767 0.7137255 0.90588236 0.7529412 0.75686276 0.7647059 0.77254903 0.79607844 0.8 0.8117647 0.7882353 0.76862746 0.7607843 0.7529412 0.7176471 0.75686276 0.7411765 0.74509805 0.7490196 0.7411765 0.7529412 0.7647059 0.75686276 0.76862746 0.7607843 0.74509805 0.7607843 0.7607843 0.7647059 0.7372549 0.75686276 0.74509805 0.73333335 0.74509805 0.7294118 0.72156864 0.7058824 0.7019608 0.7019608 0.7058824 0.7019608 0.6745098 0.67058825 0.6666667 0.654902 0.6431373 0.62352943 0.60784316 0.6156863 0.59607846 0.58431375 0.5882353 0.5882353 0.5686275 0.5529412 0.53333336 0.5137255 0.49411765 0.30588236 0.4745098 0.4392157 0.39607844 0.34117648 0.32156864 0.23529412 0.27058825 0.2784314 0.25490198 0.23137255 0.62352943 0.1882353 0.21960784 0.21568628 0.22352941 0.20784314 0.13333334 0.10588235 0.10980392 0.10588235 0.09803922 0.1764706 0.09411765 0.07843138 0.05490196 0.03921569 0.13333334 0.14901961 0.15294118 0.14901961 0.14509805 0.14901961 0.15294118 0.14117648 0.14509805 0.14117648 0.14509805 0.14509805 0.13333334 0.13725491 0.13333334 0.13333334 0.1254902 0.12941177 0.16078432 0.15294118 0.21176471 0.21960784 0.21960784 0.23137255 0.23921569 0.2509804 0.2509804 0.28235295 0.29411766 0.30980393] Instance: 27 ============ [0.59607846 0.5176471 0.5372549 0.59607846 0.61960787 0.5921569 0.53333336 0.42745098 0.29411766 0.27450982 0.25882354 0.2509804 0.27058825 0.23529412 0.23137255 0.20392157 0.21176471 0.16862746 0.14509805 0.11764706 0.19607843 0.2509804 0.2901961 0.29803923 0.3137255 0.28235295 0.28627452 0.27058825 0.25882354 0.22745098 0.18431373 0.19215687 0.24705882 0.19215687 0.21960784 0.19215687 0.20784314 0.22352941 0.2509804 0.3137255 0.32156864 0.3647059 0.28235295 0.3254902 0.24313726 0.15294118 0.10588235 0.03529412 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.02745098 0.25490198 0.28627452 0.32156864 0.30588236 0.34117648 0.40392157 0.44313726 0.44705883 0.4509804 0.45490196 0.43529412 0.44705883 0.45490196 0.45882353 0.45490196 0.47058824 0.4392157 0.4627451 0.49803922 0.4745098 0.5254902 0.54901963 0.54509807 0.49803922 0.5137255 0.5529412 0.5686275 0.57254905 0.5764706 0.59607846 0.61960787 0.7137255 0.76862746 0.7764706 0.7882353 0.80784315 0.7882353 0.8392157 0.7921569 0.7882353 0.80784315 0.8352941 0.8156863 0.7647059 0.70980394 0.69411767 0.70980394 0.7647059 0.7647059 0.77254903 0.7490196 0.78039217 0.7411765 0.8156863 0.8509804 0.75686276 0.7411765 0.77254903 0.8352941 0.85490197 0.7921569 0.78039217 0.72156864 0.7254902 0.76862746 0.7254902 0.75686276 0.7647059 0.79607844 0.8117647 0.87058824 0.8509804 0.8352941 0.8352941 0.7764706 0.8352941 0.81960785 0.8039216 0.8 0.79607844 0.78039217 0.83137256 0.80784315 0.74509805 0.69411767 0.627451 0.5803922 0.5803922 0.58431375 0.57254905 0.5764706 0.5921569 0.5686275 0.5529412 0.5411765 0.5176471 0.53333336 0.49019608 0.54901963 0.5372549 0.5058824 0.5254902 0.53333336 0.5254902 0.5411765 0.5019608 0.48235294 0.47843137 0.46666667 0.41960785 0.3882353 0.2901961 0.21568628 0.25490198 0.3529412 0.38039216 0.40392157 0.4 0.42745098 0.42352942 0.3647059 0.2 0.02352941 0.03137255 0.0627451 0.05098039 0.07450981 0.08627451 0.0627451 0.07450981 0.07058824 0.06666667 0.05882353 0.05490196 0.02745098 0. 0.12156863 0.17254902 0.1882353 0.34901962 0.5568628 0.4745098 0.45882353 0.40784314 0.43137255 0.48235294 0.61960787 0.52156866 0.46666667 0.3529412 0.54509807 0.47058824 0.4745098 0.49803922 0.49411765 0.46666667 0.4509804 0.5882353 0.6509804 0.6117647 0.49411765 0.49803922 0.49019608 0.4627451 0.49411765 0.4862745 ] Instance: 28 ============ [0.13725491 0.00392157 0.01176471 0.2509804 0.2784314 0.24313726 0.23921569 0.24313726 0.25882354 0.2784314 0.26666668 0.2627451 0.26666668 0.24705882 0.2901961 0.14509805 0.14901961 0.15686275 0.15294118 0.15294118 0.15686275 0.14901961 0.16078432 0.16470589 0.15294118 0.14901961 0.15294118 0.14901961 0.2901961 0.12156863 0.11764706 0.10588235 0.12156863 0.12156863 0.10980392 0.10980392 0.10588235 0.10980392 0.10588235 0.09803922 0.10196079 0.09803922 0.75686276 0.21568628 0.2509804 0.23921569 0.2627451 0.29803923 0.34117648 0.35686275 0.36862746 0.3647059 0.36078432 0.36862746 0.37254903 0.3764706 0.8117647 0.3647059 0.3647059 0.37254903 0.34509805 0.34901962 0.32941177 0.3529412 0.38039216 0.41960785 0.4117647 0.45490196 0.5137255 0.5882353 0.57254905 0.5921569 0.61960787 0.6156863 0.60784316 0.59607846 0.627451 0.63529414 0.6509804 0.6627451 0.6784314 0.65882355 0.627451 0.6039216 0.6313726 0.627451 0.6039216 0.60784316 0.64705884 0.6431373 0.64705884 0.6509804 0.6627451 0.6627451 0.69411767 0.6901961 0.6666667 0.65882355 0.6392157 0.627451 0.6117647 0.61960787 0.60784316 0.61960787 0.61960787 0.6 0.6 0.6117647 0.62352943 0.60784316 0.6117647 0.62352943 0.61960787 0.62352943 0.6117647 0.6313726 0.6313726 0.654902 0.6627451 0.69803923 0.6784314 0.6745098 0.67058825 0.6784314 0.6666667 0.68235296 0.6392157 0.09803922 0.627451 0.61960787 0.627451 0.61960787 0.60784316 0.60784316 0.59607846 0.5294118 0.50980395 0.49411765 0.49019608 0.49411765 0.47843137 0.07450981 0.4509804 0.4392157 0.42352942 0.4392157 0.39607844 0.36862746 0.35686275 0.33333334 0.33333334 0.35686275 0.34509805 0.32156864 0.2784314 0.84313726 0.19607843 0.2509804 0.2901961 0.2901961 0.29411766 0.3254902 0.33333334 0.28627452 0.18431373 0.19215687 0.16078432 0.09411765 0.05882353 0.85882354 0.07450981 0.07450981 0.08235294 0.09803922 0.10588235 0.11372549 0.10588235 0.11372549 0.10980392 0.11372549 0.11764706 0.11764706 0.11764706 0.23921569 0.11372549 0.12156863 0.11764706 0.10980392 0.10588235 0.11372549 0.1254902 0.1254902 0.14117648 0.14117648 0.14117648 0.14509805 0.14901961 0.28627452 0.14509805 0.14901961 0.14509805 0.14901961 0.1882353 0.23921569 0.2627451 0.2627451 0.28235295 0.24313726 0.23921569 0.23529412 0.22745098 0.24705882 0.26666668 0.24313726 0.15686275 0.13333334 0.13725491 0.12941177 0.1254902 0.13333334 0.13333334 0.11764706 0.12156863 0.12156863] Instance: 29 ============ [0.14901961 0.15686275 0.18039216 0.1764706 0.19215687 0.34509805 0.45490196 0.36862746 0.33333334 0.3372549 0.32156864 0.35686275 0.33333334 0.36862746 0.3882353 0.45882353 0.49411765 0.35686275 0.24705882 0.24705882 0.23529412 0.23921569 0.23529412 0.20784314 0.22745098 0.21960784 0.23137255 0.21960784 0.23529412 0.21960784 0.21960784 0.21960784 0.22352941 0.22745098 0.20392157 0.18431373 0.18039216 0.16862746 0.14117648 0.1254902 0.10980392 0.10588235 0.09411765 0.07843138 0.0627451 0.03529412 0.00784314 0. 0. 0. 0. 0. 0. 0. 0.02352941 0.05882353 0.09803922 0.10588235 0.11764706 0.12941177 0.23529412 0.29803923 0.36078432 0.3764706 0.41960785 0.43137255 0.46666667 0.5803922 0.65882355 0.67058825 0.6313726 0.6117647 0.64705884 0.63529414 0.6666667 0.65882355 0.7019608 0.7764706 0.7490196 0.7137255 0.72156864 0.69803923 0.68235296 0.654902 0.63529414 0.68235296 0.6901961 0.69803923 0.72156864 0.7254902 0.74509805 0.7529412 0.7490196 0.7411765 0.74509805 0.73333335 0.7176471 0.70980394 0.7176471 0.6901961 0.6666667 0.69411767 0.7176471 0.73333335 0.7176471 0.75686276 0.7411765 0.7490196 0.7372549 0.7294118 0.7411765 0.7372549 0.69803923 0.7254902 0.6901961 0.69411767 0.68235296 0.70980394 0.75686276 0.7411765 0.74509805 0.69411767 0.7058824 0.69411767 0.74509805 0.7647059 0.76862746 0.6745098 0.5686275 0.5686275 0.57254905 0.5529412 0.5529412 0.5529412 0.5294118 0.5372549 0.49803922 0.5254902 0.5058824 0.49803922 0.4862745 0.4627451 0.43137255 0.4117647 0.3647059 0.32941177 0.30980393 0.29803923 0.29411766 0.31764707 0.30588236 0.2509804 0.14117648 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.09019608 0.14117648 0.15294118 0.16470589 0.1882353 0.24313726 0.2627451 0.3019608 0.30588236 0.3137255 0.32941177 0.3372549 0.34509805 0.34117648 0.36862746 0.35686275 0.3647059 0.34901962 0.35686275 0.3529412 0.3529412 0.3529412 0.31764707 0.34117648 0.3372549 0.32941177 0.32156864 0.2901961 0.30588236 0.42745098 0.56078434 0.5137255 0.43529412 0.42352942 0.42745098 0.43529412 0.41568628 0.4117647 0.4 0.43137255 0.42352942 0.44313726 0.49803922 0.5803922 0.33333334 0.3137255 0.3254902 0.3137255 0.29803923 0.27058825 0.27450982 0.2784314 0.27058825 0.26666668 0.23529412 0.19607843 0.16470589 0.14509805 0.15294118 0.20392157 0.2901961 0.40392157] Instance: 30 ============ [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 0.99607843 0.99607843 0.99607843 1. 0.99607843 1. 1. 1. 0.9843137 0.96862745 0.92156863 0.8901961 0.8392157 0.76862746 0.7137255 0.64705884 0.5294118 0.37254903 0.34117648 0.3254902 0.31764707 0.28627452 0.27058825 0.24705882 0.23137255 0.21176471 0.18431373 0.18431373 0.3647059 0.48235294 0.5372549 0.54509807 0.7058824 0.75686276 0.7490196 0.79607844 0.78431374 0.8117647 0.8352941 0.80784315 0.8039216 0.8156863 0.7921569 0.8 0.8156863 0.80784315 0.8156863 0.81960785 0.8156863 0.827451 0.8509804 0.84313726 0.8666667 0.9019608 0.9254902 0.94509804 0.9764706 0.95686275 0.84313726 0.8352941 0.8784314 0.8156863 0.8 0.7921569 0.78431374 0.7529412 0.7372549 0.72156864 0.83137256 0.80784315 0.8235294 0.8039216 0.8117647 0.79607844 0.7372549 0.72156864 0.7411765 0.7607843 0.8352941 0.80784315 0.7411765 0.7176471 0.7058824 0.73333335 0.7176471 0.6509804 0.627451 0.6156863 0.61960787 0.6039216 0.5882353 0.56078434 0.5568628 0.5294118 0.5058824 0.47843137 0.4392157 0.37254903 0.33333334 0.28235295 0.22745098 0.19215687 0.15686275 0.12156863 0.07058824 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00784314 0.06666667 0.08627451 0.1254902 0.18431373 0.24705882 0.25490198 0.29411766 0.3137255 0.3529412 0.3647059 0.38431373 0.39215687 0.4392157 0.42352942 0.43137255 0.43529412 0.42352942 0.44705883 0.41568628 0.41568628 0.41568628 0.42352942 0.43529412 0.41960785 0.62352943 0.8392157 0.6156863 0.58431375 0.6039216 0.5882353 0.6 0.6039216 0.60784316 0.67058825 0.79607844 0.45882353 0.43137255 0.44705883 0.43529412 0.4392157 0.44313726 0.43137255 0.43529412 0.41568628 0.40784314 0.3882353 0.3764706 0.34901962 0.34901962 0.31764707 0.25490198 0.23529412 0.2 0.13333334] Instance: 31 ============ [0.6156863 0.00392157 0.34509805 0.20392157 0.2 0.19607843 0.20392157 0.18431373 0.18431373 0.4117647 0.43529412 0.32941177 0.32156864 0.3019608 0.28627452 0.3019608 0.31764707 0.30980393 0.4 0.5411765 0.42352942 0.19215687 0.20784314 0.20784314 0.2 0.19215687 0.2 0.19215687 0.18039216 0.19607843 0.17254902 0.18039216 0.18431373 0.18039216 0.17254902 0.1764706 0.18039216 0.1882353 0.16862746 0.1764706 0.17254902 0.16862746 0.16862746 0.17254902 0.16862746 0.15294118 0.14901961 0.13725491 0.13333334 0.11372549 0.10196079 0.11764706 0.11372549 0.10980392 0.01176471 0.03137255 0.04313726 0.05490196 0.0627451 0.0627451 0.07058824 0.07450981 0.07450981 0.07450981 0.07843138 0.07843138 0.07843138 0.07450981 0.07058824 0.07058824 0.0627451 0.05882353 0.04705882 0.02745098 0.10588235 0.16470589 0.15686275 0.19607843 0.18431373 0.17254902 0.20784314 0.21568628 0.1882353 0.34509805 0.48235294 0.5137255 0.5058824 0.52156866 0.5019608 0.5176471 0.5294118 0.5254902 0.5803922 0.5568628 0.627451 0.6156863 0.6 0.63529414 0.6392157 0.6117647 0.6156863 0.6313726 0.6431373 0.6627451 0.69803923 0.6784314 0.69411767 0.6784314 0.69803923 0.6745098 0.67058825 0.69411767 0.6901961 0.67058825 0.64705884 0.63529414 0.6392157 0.64705884 0.6666667 0.6784314 0.6392157 0.65882355 0.6431373 0.6392157 0.6313726 0.6313726 0.60784316 0.5921569 0.5647059 0.57254905 0.5764706 0.56078434 0.53333336 0.53333336 0.5254902 0.5058824 0.42352942 0.41960785 0.41568628 0.3764706 0.3647059 0.3254902 0.3137255 0.2901961 0.3019608 0.2901961 0.27058825 0.23137255 0.22745098 0.21960784 0.21960784 0.22352941 0.2 0.22352941 0.2 0.10980392 0.09803922 0.03137255 0.05098039 0.0627451 0.07843138 0.07058824 0.07450981 0.07450981 0.07843138 0.08235294 0.08235294 0.08235294 0.08235294 0.09411765 0.08235294 0.08627451 0.08235294 0.08235294 0.08235294 0.07843138 0.07450981 0.07843138 0.07058824 0.0627451 0.0627451 0.05882353 0.05098039 0.04705882 0.03921569 0.03529412 0.01568628 0.01176471 0.07058824 0.09019608 0.05098039 0.07843138 0.07843138 0.07843138 0.08627451 0.09803922 0.09803922 0.09411765 0.11764706 0.12156863 0.13333334 0.14509805 0.14901961 0.15294118 0.16078432 0.16862746 0.18039216 0.1764706 0.18431373 0.2 0.18039216 0.1882353 0.19607843 0.19607843 0.20392157 0.22352941 0.3647059 0.4627451 0.30980393 0.28627452 0.25882354 0.26666668 0.28627452 0.2901961 ] Instance: 32 ============ [0.14117648 0.17254902 0.21176471 0.24313726 0.2627451 0.2784314 0.3137255 0.29411766 0.30588236 0.30588236 0.32941177 0.3254902 0.34117648 0.32156864 0.34901962 0.34901962 0.35686275 0.32941177 0.33333334 0.33333334 0.34117648 0.34117648 0.53333336 0.5254902 0.47843137 0.4745098 0.4745098 0.5019608 0.48235294 0.48235294 0.4745098 0.4862745 0.5058824 0.5529412 0.5294118 0.5411765 0.36862746 0.3764706 0.39607844 0.39215687 0.38431373 0.4117647 0.41960785 0.41568628 0.40784314 0.4117647 0.42745098 0.4117647 0.41960785 0.42352942 0.4 0.39607844 0.40392157 0.39215687 0.36862746 0.38431373 0.3647059 0.35686275 0.30588236 0.2627451 0.27058825 0.23529412 0.24313726 0.2627451 0.30588236 0.40784314 0.4392157 0.44313726 0.47843137 0.49803922 0.4745098 0.52156866 0.50980395 0.52156866 0.5294118 0.54901963 0.57254905 0.58431375 0.57254905 0.5686275 0.5882353 0.60784316 0.627451 0.63529414 0.6431373 0.63529414 0.64705884 0.6431373 0.654902 0.6509804 0.6431373 0.65882355 0.7529412 0.84705883 0.84705883 0.8 0.7647059 0.7647059 0.74509805 0.76862746 0.78431374 0.7921569 0.8392157 0.81960785 0.80784315 0.80784315 0.8 0.8039216 0.84313726 0.83137256 0.8392157 0.84313726 0.8235294 0.81960785 0.78039217 0.7882353 0.8039216 0.7647059 0.7882353 0.8156863 0.84313726 0.79607844 0.827451 0.8235294 0.827451 0.8352941 0.84313726 0.8627451 0.85490197 0.85882354 0.8509804 0.8509804 0.88235295 0.8156863 0.8509804 0.85490197 0.87058824 0.84313726 0.7647059 0.7647059 0.76862746 0.81960785 0.8156863 0.7647059 0.78431374 0.78431374 0.84313726 0.8509804 0.7882353 0.6784314 0.62352943 0.5921569 0.56078434 0.5411765 0.5686275 0.59607846 0.59607846 0.5764706 0.57254905 0.5647059 0.58431375 0.58431375 0.5411765 0.50980395 0.4745098 0.5176471 0.5294118 0.5294118 0.54901963 0.5647059 0.5764706 0.5411765 0.3372549 0.38039216 0.41960785 0.39215687 0.4392157 0.44313726 0.42352942 0.44313726 0.43529412 0.4392157 0.41960785 0.42352942 0.41960785 0.42352942 0.41568628 0.40392157 0.39215687 0.39215687 0.37254903 0.38431373 0.54901963 0.62352943 0.61960787 0.53333336 0.50980395 0.5058824 0.46666667 0.5058824 0.48235294 0.4862745 0.5137255 0.5803922 0.60784316 0.34901962 0.3137255 0.30980393 0.34509805 0.3372549 0.3372549 0.32156864 0.28627452 0.30980393 0.3019608 0.29411766 0.28627452 0.29411766 0.30588236 0.3019608 0.29803923 0.28627452 0.2901961 0.34117648] Instance: 33 ============ [0.16078432 0.15686275 0.16078432 0.17254902 0.16470589 0.16862746 0.26666668 0.38431373 0.30588236 0.26666668 0.27450982 0.29803923 0.29411766 0.28627452 0.2784314 0.30588236 0.3254902 0.4627451 0.48235294 0.3372549 0.21568628 0.23137255 0.21568628 0.1882353 0.19607843 0.19215687 0.19215687 0.21176471 0.22352941 0.21176471 0.23529412 0.21568628 0.20784314 0.20392157 0.20392157 0.21176471 0.16862746 0.15686275 0.16470589 0.11764706 0.19215687 0.3254902 0.34117648 0.38039216 0.40392157 0.40392157 0.43137255 0.4392157 0.42745098 0.3882353 0.3882353 0.40392157 0.39607844 0.3137255 0.24705882 0.21960784 0.28235295 0.3882353 0.41568628 0.39607844 0.39215687 0.40784314 0.47843137 0.7294118 0.81960785 0.8784314 0.81960785 0.76862746 0.8 0.7607843 0.8039216 0.80784315 0.7294118 0.91764706 0.9607843 0.92941177 0.9098039 0.9882353 0.9490196 0.81960785 0.8 0.76862746 0.6627451 0.67058825 0.6784314 0.7137255 0.69803923 0.7764706 0.7764706 0.7882353 0.8235294 0.8392157 0.8235294 0.7882353 0.7372549 0.72156864 0.7294118 0.72156864 0.73333335 0.76862746 0.8235294 0.78431374 0.79607844 0.8117647 0.8117647 0.76862746 0.76862746 0.79607844 0.8392157 0.8352941 0.8235294 0.7921569 0.7529412 0.7411765 0.7294118 0.83137256 0.8666667 0.88235295 0.9529412 0.95686275 0.9098039 0.9529412 0.9843137 0.9490196 0.9019608 0.8980392 0.87058824 0.8627451 0.8117647 0.78039217 0.7372549 0.7294118 0.81960785 0.81960785 0.89411765 0.8666667 0.85882354 0.7882353 0.6392157 0.59607846 0.5803922 0.5764706 0.6039216 0.59607846 0.5568628 0.5254902 0.47843137 0.48235294 0.45490196 0.4117647 0.41568628 0.38431373 0.35686275 0.30980393 0.26666668 0.24705882 0.22352941 0.14901961 0.03529412 0. 0. 0. 0. 0. 0. 0. 0. 0.01176471 0.00784314 0.00392157 0.00784314 0.02352941 0.03137255 0.03529412 0.04313726 0.05490196 0.05098039 0.05882353 0.11764706 0.10588235 0.10980392 0.14117648 0.17254902 0.15686275 0.17254902 0.16862746 0.15686275 0.19607843 0.19607843 0.2 0.21960784 0.20784314 0.20392157 0.20392157 0.18039216 0.19215687 0.20392157 0.3529412 0.4392157 0.46666667 0.42352942 0.39215687 0.37254903 0.32156864 0.33333334 0.34509805 0.34509805 0.3372549 0.34117648 0.3882353 0.43529412 0.38039216 0.24313726 0.23921569 0.22352941 0.21960784 0.2 0.1882353 0.2 0.20784314 0.18039216 0.16862746 0.13725491 0.14117648] Instance: 34 ============ [0.34117648 0.00392157 0.09803922 0.01176471 0.02352941 0.03137255 0.03529412 0.05490196 0.06666667 0.09411765 0.00784314 0.10588235 0.12156863 0.12941177 0.14117648 0.1882353 0.19215687 0.20784314 0.24705882 0.2627451 0.5686275 0.29803923 0.32941177 0.3137255 0.32941177 0.32156864 0.3529412 0.3529412 0.49019608 0.54509807 0.5137255 0.50980395 0.53333336 0.54509807 0.5372549 0.5294118 0.5686275 0.56078434 0.6117647 0.63529414 0.62352943 0.6431373 0.654902 0.65882355 0.6431373 0.59607846 0.5137255 0.5058824 0.5058824 0.5137255 0.5058824 0.53333336 0.64705884 0.6901961 0.69803923 0.7058824 0.72156864 0.7254902 0.72156864 0.7254902 0.7176471 0.7176471 0.6862745 0.6666667 0.6862745 0.6862745 0.7607843 0.7647059 0.77254903 0.76862746 0.75686276 0.28627452 0.76862746 0.77254903 0.83137256 0.8509804 0.84705883 0.84313726 0.8509804 0.85882354 0.8627451 0.85490197 0.8627451 0.8666667 0.87058824 0.8666667 0.88235295 0.8784314 0.8901961 0.8862745 0.8862745 0.8901961 0.8980392 0.8901961 0.8745098 0.8784314 0.8666667 0.8784314 0.88235295 0.8862745 0.89411765 0.8784314 0.8745098 0.8980392 0.8901961 0.88235295 0.8862745 0.88235295 0.87058824 0.85882354 0.84313726 0.84705883 0.8627451 0.8784314 0.8862745 0.8862745 0.8862745 0.88235295 0.8745098 0.8745098 0.8745098 0.8784314 0.8666667 0.8745098 0.87058824 0.85882354 0.8509804 0.84313726 0.84313726 0.84705883 0.8627451 0.85490197 0.57254905 0.7764706 0.7764706 0.78039217 0.7647059 0.7490196 0.7529412 0.7411765 0.7294118 0.73333335 0.95686275 0.7137255 0.72156864 0.7058824 0.69803923 0.6862745 0.6745098 0.68235296 0.69803923 0.69803923 0.6862745 0.5803922 0.39215687 0.28627452 0.31764707 0.34509805 0.42352942 0.44313726 0.44313726 0.4627451 0.4627451 0.47058824 0.47843137 0.4627451 0.4745098 0.49803922 0.49411765 0.49019608 0.48235294 0.49019608 0.4627451 0.4745098 0.5019608 0.50980395 0.5764706 0.6431373 0.6431373 0.627451 0.6313726 0.61960787 0.5921569 0.42352942 0.58431375 0.5411765 0.54509807 0.54509807 0.5372549 0.5372549 0.54509807 0.5647059 0.52156866 0.84705883 0.3647059 0.36862746 0.36862746 0.34509805 0.32156864 0.33333334 0.3137255 0.31764707 0.26666668 0.6745098 0.22352941 0.2 0.16078432 0.14117648 0.12941177 0.12156863 0.10196079 0.08627451 0.05882353 0.04705882 0.04313726 0.03137255 0.02352941 0.01568628 0. 0. 0. 0. 0. 0.00392157] Instance: 35 ============ [0. 0. 0. 0. 0. 0. 0.00392157 0.01960784 0.05098039 0.05882353 0.07450981 0.10196079 0.13333334 0.16862746 0.18039216 0.17254902 0.19215687 0.2 0.22352941 0.23137255 0.31764707 0.32941177 0.34509805 0.35686275 0.36862746 0.3764706 0.3647059 0.35686275 0.37254903 0.40784314 0.37254903 0.46666667 0.5803922 0.49803922 0.45882353 0.47058824 0.4627451 0.4392157 0.43137255 0.46666667 0.48235294 0.49803922 0.5019608 0.52156866 0.57254905 0.7137255 0.38039216 0.3882353 0.40784314 0.43529412 0.4117647 0.42745098 0.41568628 0.43529412 0.42352942 0.44313726 0.43529412 0.44313726 0.4392157 0.4117647 0.3882353 0.4117647 0.39215687 0.3882353 0.36078432 0.3254902 0.29411766 0.28235295 0.2509804 0.62352943 0.6509804 0.5803922 0.5803922 0.7137255 0.74509805 0.72156864 0.7490196 0.7254902 0.70980394 0.7019608 0.70980394 0.7176471 0.70980394 0.7176471 0.78431374 0.7529412 0.7607843 0.7647059 0.7411765 0.78431374 0.7921569 0.8 0.81960785 0.8862745 0.90588236 0.8392157 0.8745098 0.84313726 0.8901961 0.90588236 0.90588236 0.92941177 0.92156863 0.96862745 0.9607843 0.9882353 0.9764706 0.9490196 0.92941177 0.9411765 0.9490196 0.9254902 0.90588236 0.96862745 0.8901961 0.8235294 0.827451 0.7921569 0.8039216 0.8352941 0.85490197 0.89411765 0.89411765 0.92156863 0.8509804 0.9607843 0.9137255 0.9647059 0.98039216 0.9647059 0.9764706 0.9843137 0.99607843 0.99607843 0.96862745 0.9490196 0.9254902 0.87058824 0.92941177 0.9372549 0.9372549 0.85490197 0.7372549 0.7607843 0.7529412 0.75686276 0.7607843 0.7607843 0.7294118 0.7490196 0.7019608 0.7019608 0.6431373 0.6392157 0.6392157 0.627451 0.60784316 0.6117647 0.60784316 0.6156863 0.627451 0.6117647 0.6313726 0.6039216 0.6039216 0.62352943 0.6784314 0.6509804 0.69411767 0.73333335 0.65882355 0.43137255 0.39215687 0.36862746 0.2509804 0.17254902 0.1882353 0.18431373 0.20784314 0.26666668 0.25490198 0.27058825 0.28235295 0.31764707 0.34117648 0.34509805 0.36078432 0.36862746 0.34901962 0.34509805 0.34901962 0.3372549 0.36078432 0.34117648 0.33333334 0.3372549 0.3254902 0.3372549 0.3372549 0.34509805 0.3137255 0.39607844 0.53333336 0.4862745 0.4627451 0.43529412 0.42745098 0.39215687 0.3882353 0.40784314 0.42352942 0.43137255 0.47058824 0.5882353 0.48235294 0.29411766 0.27450982 0.2784314 0.28235295 0.28627452 0.25490198 0.20784314 0.21176471 0.21176471] Instance: 36 ============ [0.12156863 0.12156863 0.1254902 0.13333334 0.13333334 0.13333334 0.14117648 0.14509805 0.16862746 0.17254902 0.14509805 0.14509805 0.14117648 0.13333334 0.14117648 0.12941177 0.13725491 1. 0.13333334 0.12941177 0.99607843 0.11372549 0.11764706 0.10980392 0.11764706 0.10196079 0.10588235 0.10980392 0.13725491 0.15686275 0.16862746 0.2 0.2 0.2 0.19607843 0.23529412 0.23529412 0.24313726 0.24705882 0.25882354 0.2627451 0.2784314 0.28627452 0.30588236 0.32156864 0.34901962 0.34117648 0.3254902 0.34901962 0.3647059 0.3764706 0.3882353 0.38431373 0.42352942 0.4 0.43529412 0.43529412 0.44705883 0.4392157 0.42745098 0.43529412 0.44313726 0.47843137 0.46666667 0.4745098 0.49803922 0.52156866 0.5137255 0.5254902 0.5294118 0.53333336 0.5529412 0.53333336 0.54901963 0.5686275 0.5568628 0.5647059 0.58431375 0.6 0.627451 0.6156863 0.6039216 0.6039216 0.6627451 0.6745098 0.7019608 0.6862745 0.67058825 0.6901961 0.67058825 0.6745098 0.64705884 0.6156863 0.63529414 0.5882353 0.54901963 0.6117647 0.6117647 0.6156863 0.6392157 0.67058825 0.6666667 0.65882355 0.627451 0.6509804 0.67058825 0.65882355 0.654902 0.63529414 0.64705884 0.65882355 0.63529414 0.6627451 0.6039216 0.59607846 0.5529412 0.56078434 0.54509807 0.5411765 0.53333336 0.5058824 0.5137255 0.5019608 0.5254902 0.49019608 0.5019608 0.5647059 0.5294118 0.5294118 0.5294118 0.4862745 0.49803922 0.49803922 0.4862745 0.52156866 0.52156866 0.5647059 0.56078434 0.40784314 0.40392157 0.41568628 0.41568628 0.42352942 0.4 0.4117647 0.41568628 0.39607844 0.39215687 0.37254903 0.38431373 0.49411765 0.5137255 0.4862745 0.44313726 0.41568628 0.43137255 0.4392157 0.4509804 0.4 0.3647059 0.36078432 0.37254903 0.34509805 0.34509805 0.34901962 0.34117648 0.32941177 0.34509805 0.3764706 0.36862746 0.36862746 0.36078432 0.36862746 0.36862746 0.36862746 0.35686275 0.3372549 0.37254903 0.3764706 0.3647059 0.34509805 0.34117648 0.33333334 0.31764707 0.29411766 0.29411766 0.3137255 0.28235295 0.27058825 0.25490198 0.21176471 0.21568628 0.16862746 0.15686275 0.14117648 0.1254902 0.10980392 0.1254902 0.11764706 0.1254902 0.12156863 0.11764706 0.12941177 0.12156863 0.10980392 0.10980392 0.10588235 0.10196079 0.10196079 0.10196079 0.09019608 0.07450981 0.07450981 0.07843138 0.08235294 0.07450981 0.07058824 0.07450981 0.06666667 0.06666667 0.05882353 0.05490196 0.0627451 0.09411765] Instance: 37 ============ [0.1882353 0.19607843 0.22352941 0.19215687 0.19607843 0.20392157 0.20784314 0.20784314 0.21176471 0.69803923 0.20392157 0.16862746 0.10980392 0.10196079 0.10980392 0.09803922 0.09803922 0.13725491 0.28627452 0.15294118 0.17254902 0.98039216 0.36862746 0.39215687 0.4117647 0.41960785 0.40784314 0.43137255 0.4509804 0.45882353 0.47058824 0.47058824 0.4862745 0.48235294 0.5019608 0.49019608 0.56078434 0.60784316 0.58431375 0.5647059 0.5764706 0.5372549 0.47058824 0.41568628 0.44705883 0.41568628 0.42745098 0.39215687 0.38431373 0.36078432 0.36078432 0.32941177 0.34117648 0.30980393 0.27450982 0.26666668 0.33333334 0.34117648 0.38039216 0.36078432 0.47058824 0.5372549 0.3764706 0.3764706 0.40392157 0.4117647 0.3764706 0.40784314 0.4509804 0.43529412 0.4627451 0.43137255 0.4509804 0.49803922 0.54901963 0.5254902 0.47843137 0.4745098 0.56078434 0.56078434 0.53333336 0.5803922 0.48235294 0.5294118 0.5764706 0.5882353 0.627451 0.5764706 0.5803922 0.57254905 0.5647059 0.5647059 0.5686275 0.57254905 0.5568628 0.5921569 0.5529412 0.5372549 0.5294118 0.49019608 0.47058824 0.4745098 0.46666667 0.5137255 0.49803922 0.52156866 0.5137255 0.49411765 0.52156866 0.4392157 0.42352942 0.3882353 0.42745098 0.3882353 0.3882353 0.42745098 0.5176471 0.5921569 0.5882353 0.54509807 0.5372549 0.49019608 0.49019608 0.4392157 0.38431373 0.3529412 0.36862746 0.3529412 0.3647059 0.34509805 0.32156864 0.32941177 0.3254902 0.29803923 0.28235295 0.2627451 0.30980393 0.3019608 0.2784314 0.28627452 0.26666668 0.2901961 0.2627451 0.25882354 0.23529412 0.24705882 0.24705882 0.25882354 0.24705882 0.25490198 0.22745098 0.32941177 0.48235294 0.4 0.32941177 0.3372549 0.31764707 0.30588236 0.30980393 0.26666668 0.27058825 0.23921569 0.24705882 0.2509804 0.2627451 0.24313726 0.26666668 0.2627451 0.28235295 0.30588236 0.3019608 0.3372549 0.38431373 0.38431373 0.44705883 0.40392157 0.44313726 0.48235294 0.3529412 0.48235294 0.47058824 0.47843137 0.5019608 0.5137255 0.49411765 0.52156866 0.4862745 0.4862745 0.5176471 0.5058824 0.5137255 0.45490196 0.48235294 0.50980395 0.49803922 0.47843137 0.43137255 0.42745098 0.44313726 0.43137255 0.42352942 0.3882353 0.3764706 0.34117648 0.34117648 0.32156864 0.3137255 0.30980393 0.3372549 0.3137255 0.3137255 0.3137255 0.29803923 0.3137255 0.2901961 0.29411766 0.32156864 0.2784314 0.3019608 0.28235295 0.31764707 0.27450982 0.3019608 0.29411766] Instance: 38 ============ [0. 0. 0.99607843 0. 0. 0.03137255 0.72156864 0.9607843 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.01176471 0.01568628 0.02352941 0.03137255 0.03921569 0.03529412 0.05098039 0.05098039 0.0627451 0.07058824 0.08235294 0.07058824 0.08235294 0.08235294 0.10196079 0.11372549 0.10588235 0.1254902 0.1254902 0.14117648 0.12941177 0.14509805 0.15686275 0.16470589 0.15686275 0.19607843 0.18039216 0.18039216 0.1882353 0.19215687 0.2 0.20784314 0.1882353 0.19607843 0.25490198 0.25490198 0.27450982 0.27058825 0.2784314 0.30980393 0.34509805 0.34117648 0.3529412 0.31764707 0.2627451 0.2627451 0.26666668 0.27058825 0.3137255 0.5058824 0.6039216 0.6117647 0.68235296 0.6862745 0.7411765 0.7058824 0.60784316 0.56078434 0.5803922 0.54901963 0.5411765 0.5647059 0.61960787 0.64705884 0.6431373 0.65882355 0.67058825 0.6862745 0.6784314 0.6901961 0.6784314 0.69411767 0.68235296 0.68235296 0.6901961 0.6862745 0.6901961 0.7058824 0.7019608 0.7490196 0.78431374 0.80784315 0.8039216 0.7882353 0.8039216 0.7764706 0.7882353 0.7921569 0.7529412 0.7490196 0.7647059 0.7647059 0.7764706 0.7607843 0.77254903 0.79607844 0.76862746 0.76862746 0.78431374 0.7647059 0.77254903 0.7921569 0.78039217 0.78039217 0.78431374 0.8039216 0.79607844 0.7882353 0.79607844 0.78431374 0.78039217 0.78431374 0.7607843 0.75686276 0.7607843 0.7607843 0.7529412 0.77254903 0.7411765 0.75686276 0.74509805 0.74509805 0.73333335 0.75686276 0.7372549 0.7490196 0.7647059 0.7411765 0.7372549 0.69803923 0.6627451 0.6431373 0.65882355 0.69411767 0.72156864 0.7372549 0.7176471 0.69411767 0.7254902 0.69411767 0.6431373 0.5568628 0.5647059 0.5254902 0.47058824 0.37254903 0.26666668 0.18039216 0.17254902 0.15686275 0.14117648 0.13333334 0.13333334 0.13725491 0.1254902 0.10588235 0.18431373 0.1764706 0.20784314 0.20392157 0.19215687 0.2 0.20784314 0.21176471 0.18431373 0.16078432 0.14509805 0.13725491 0.14117648 0.14117648 0.14117648 0.12941177 0.13333334 0.12156863 0.10980392 0.10588235 0.11764706 0.11372549 0.12156863 0.12156863 0.12156863 0.10980392 0.10980392 0.10196079 0.09019608 0.09411765 0.07058824 0.07058824 0.0627451 0.04705882 0.03921569 0.03137255 0.01568628 0.01568628 0.01176471 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 39 ============ [0.00784314 0.00784314 0.00784314 0.00784314 0.00784314 0.00784314 0.00784314 0.00784314 0.01568628 0.00784314 0.9882353 0.02352941 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.01176471 0.99607843 0. 0. 0.00392157 0.38039216 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.01960784 0. 0.00392157 0. 0. 0. 0. 0.00392157 0.01176471 0.02745098 0.19215687 0.28235295 0.34509805 0.40784314 0.42745098 0.48235294 0.47058824 0.52156866 0.57254905 0.5764706 0.5764706 0.5921569 0.59607846 0.62352943 0.62352943 0.627451 0.64705884 0.654902 0.6666667 0.67058825 0.67058825 0.6666667 0.6666667 0.6862745 0.6901961 0.6666667 0.65882355 0.65882355 0.68235296 0.67058825 0.69411767 0.70980394 0.7294118 0.7490196 0.74509805 0.74509805 0.7607843 0.74509805 0.74509805 0.77254903 0.76862746 0.77254903 0.7882353 0.7647059 0.7411765 0.7372549 0.7411765 0.7490196 0.7647059 0.78039217 0.78431374 0.76862746 0.74509805 0.7372549 0.7647059 0.7529412 0.7490196 0.7529412 0.7490196 0.73333335 0.7490196 0.7372549 0.7529412 0.74509805 0.75686276 0.73333335 0.73333335 0.74509805 0.74509805 0.7529412 0.7647059 0.7411765 0.7411765 0.74509805 0.7764706 0.7529412 0.7372549 0.7490196 0.7411765 0.7529412 0.74509805 0.6666667 0.627451 0.6313726 0.627451 0.6039216 0.58431375 0.6 0.5921569 0.5803922 0.5647059 0.5764706 0.54509807 0.5764706 0.58431375 0.5882353 0.5686275 0.5686275 0.5529412 0.54901963 0.5411765 0.5411765 0.45882353 0.46666667 0.46666667 0.45882353 0.45490196 0.4627451 0.47843137 0.4862745 0.49411765 0.5372549 0.56078434 0.5529412 0.5764706 0.6 0.5764706 0.60784316 0.5921569 0.5882353 0.6 0.6 0.6 0.57254905 0.54901963 0.54901963 0.5411765 0.5568628 0.54509807 0.5058824 0.5411765 0.5372549 0.7764706 0.7254902 0.5882353 0.6 0.5803922 0.5803922 0.5294118 0.5764706 0.5411765 0.4745098 0.43137255 0.4627451 0.44313726 0.46666667 0.48235294 0.44705883 0.43529412 0.42745098 0.45882353 0.44705883 0.39215687 0.36862746 0.32156864 0.3019608 0.2901961 0.27450982 0.27450982 0.29411766 0.2627451 0.24313726 0.2509804 0.24705882 0.23529412 0.22352941 0.21176471 0.1882353 0.19215687 0.17254902 0.16470589 0.14117648 0.14117648 0.15294118 0.16078432 0.14509805 0.13333334 0.1254902 ] Instance: 40 ============ [0.03529412 0.03137255 0.07843138 0.05882353 0.04313726 0.05098039 0.05882353 0.02745098 0.10980392 0.07450981 0.09411765 0.09803922 0.09803922 0.10196079 0.09411765 1. 0.09411765 0.14509805 1. 0.14901961 0.18039216 0.17254902 0.18431373 0.15294118 0.14901961 0.16078432 0.18039216 0.1764706 0.1882353 0.17254902 0.19215687 0.18039216 0.21960784 0.23921569 0.2 0.20392157 0.21568628 0.23529412 0.23137255 0.23921569 0.21176471 0.16470589 0.19607843 0.27450982 0.23137255 0.22352941 0.24705882 0.23921569 0.24313726 0.29803923 0.2627451 0.32156864 0.30588236 0.22352941 0.22352941 0.23529412 0.19607843 0.18431373 0.19215687 0.19607843 0.2 0.1882353 0.19215687 0.1882353 0.1882353 0.21568628 0.23529412 0.22352941 0.22745098 0.21960784 0.24313726 0.25490198 0.25882354 0.28235295 0.29803923 0.29803923 0.3137255 0.31764707 0.43137255 0.4392157 0.4745098 0.4862745 0.45490196 0.47058824 0.45882353 0.43529412 0.49803922 0.49803922 0.49019608 0.49803922 0.57254905 0.5411765 0.5568628 0.5058824 0.49411765 0.5019608 0.49803922 0.5137255 0.52156866 0.5372549 0.50980395 0.4745098 0.49411765 0.49803922 0.6039216 0.5882353 0.52156866 0.5058824 0.5019608 0.49411765 0.4745098 0.4392157 0.45882353 0.42745098 0.4 0.40392157 0.42352942 0.4862745 0.47058824 0.5294118 0.5254902 0.54509807 0.5568628 0.5647059 0.54509807 0.53333336 0.49019608 0.54901963 0.50980395 0.5254902 0.5137255 0.48235294 0.5058824 0.5372549 0.50980395 0.4627451 0.50980395 0.53333336 0.49803922 0.43529412 0.5254902 0.54901963 0.50980395 0.45882353 0.42352942 0.4117647 0.3254902 0.3529412 0.3254902 0.3137255 0.25882354 0.2509804 0.23529412 0.21960784 0.2 0.21568628 0.20392157 0.19607843 0.1764706 0.16078432 0.16470589 0.15686275 0.16470589 0.14117648 0.15294118 0.14509805 0.1254902 0.11372549 0.11764706 0.10588235 0.10980392 0.09019608 0.13725491 0.13333334 0.14117648 0.11372549 0.10196079 0.11372549 0.09411765 0.11372549 0.09411765 0.10588235 0.10588235 0.09019608 0.10196079 0.07450981 0.10980392 0.10196079 0.12156863 0.10980392 0.11372549 0.11764706 0.12156863 0.12156863 0.1254902 0.12941177 0.09411765 0.09019608 0.09803922 0.10196079 0.09019608 0.10980392 0.09803922 0.10588235 0.10588235 0.10196079 0.09803922 0.10588235 0.10196079 0.10196079 0.08627451 0.09411765 0.09019608 0.09411765 0.09411765 0.09019608 0.08627451 0.09019608 0.07058824 0. 0. 0.01176471 0.01568628 0.01960784] Instance: 41 ============ [0.29411766 0.29803923 0.31764707 0.3019608 0.3254902 0.30588236 0.33333334 0.37254903 0.10980392 0.9882353 0.37254903 0.3647059 0.3529412 0.36078432 0.39215687 0.38431373 0.3764706 0.4 0.99215686 0.40784314 0.43529412 0.9882353 0.38039216 0.41960785 0.40784314 0.4509804 0.4627451 0.44313726 0.49411765 0.4745098 0.47843137 0.4862745 0.4509804 0.47843137 0.46666667 0.46666667 0.49411765 0.47843137 0.4745098 0.4509804 0.47843137 0.47843137 0.4862745 0.44313726 0.5019608 0.46666667 0.4862745 0.50980395 0.5137255 0.49803922 0.47843137 0.4745098 0.50980395 0.49019608 0.5019608 0.54901963 0.5411765 0.50980395 0.49803922 0.50980395 0.5019608 0.49803922 0.5176471 0.5529412 0.5294118 0.54509807 0.5372549 0.5921569 0.5411765 0.5686275 0.5882353 0.6039216 0.6039216 0.60784316 0.61960787 0.59607846 0.5686275 0.5647059 0.5647059 0.6156863 0.5529412 0.5411765 0.59607846 0.57254905 0.5686275 0.5411765 0.54901963 0.5686275 0.5921569 0.61960787 0.6156863 0.58431375 0.5882353 0.5647059 0.53333336 0.5294118 0.53333336 0.53333336 0.5803922 0.5372549 0.54901963 0.52156866 0.5254902 0.5921569 0.6509804 0.67058825 0.6666667 0.6862745 0.7137255 0.65882355 0.6627451 0.654902 0.5921569 0.5647059 0.62352943 0.5764706 0.64705884 0.5647059 0.5254902 0.5254902 0.5019608 0.52156866 0.52156866 0.49411765 0.53333336 0.49803922 0.5176471 0.5294118 0.5568628 0.5529412 0.5568628 0.54901963 0.53333336 0.5176471 0.50980395 0.5176471 0.4509804 0.5176471 0.52156866 0.53333336 0.5058824 0.4862745 0.5019608 0.5137255 0.5058824 0.50980395 0.47843137 0.40392157 0.40784314 0.43529412 0.40392157 0.44705883 0.44313726 0.45490196 0.41568628 0.4117647 0.40392157 0.41568628 0.37254903 0.37254903 0.38431373 0.3882353 0.4 0.4 0.39607844 0.38039216 0.39607844 0.41960785 0.36078432 0.3254902 0.3372549 0.3882353 0.30980393 0.3137255 0.3137255 0.32941177 0.30588236 0.2784314 0.2901961 0.3019608 0.2509804 0.28235295 0.23529412 0.24313726 0.23921569 0.24313726 0.22745098 0.21960784 0.2509804 0.2784314 0.22745098 0.2509804 0.2509804 0.22352941 0.21960784 0.21176471 0.19607843 0.25882354 0.26666668 0.23137255 0.21568628 0.20392157 0.24313726 0.19607843 0.2 0.22352941 0.21176471 0.17254902 0.2 0.20784314 0.19215687 0.2 0.2 0.20784314 0.2 0.18431373 0.15294118 0.11372549 0.3254902 0.3529412 0.45882353 0.5137255 0.3019608 0.23529412] Instance: 42 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.00392157 0.00392157 0.00392157 0. 0.00392157 0.00392157 0.00784314 0.01176471 0.01568628 0.01960784 0.01960784 0.02352941 0.02745098 0.02745098 0.03921569 0.03529412 0.03921569 0.04313726 0.03921569 0.04313726 0.04705882 0.05098039 0.03921569 0.05098039 0.04313726 0.04313726 0.04313726 0.04705882 0.04313726 0.03921569 0.03921569 0.03529412 0.03137255 0.02745098 0.02745098 0.01960784 0.01568628 0.01568628 0.01176471 0.01568628 0.01176471 0.00392157 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.01568628 0.01176471 0.01960784 0.04705882 0.09411765 0.07058824 0.02745098 0.05490196 0.13333334 0.25490198 0.34117648 0.44705883 0.46666667 0.5176471 0.5411765 0.56078434 0.5529412 0.5686275 0.5882353 0.6156863 0.627451 0.6117647 0.6392157 0.65882355 0.69803923 0.7607843 0.78039217 0.7607843 0.7607843 0.7607843 0.7529412 0.75686276 0.7764706 0.79607844 0.80784315 0.8117647 0.8117647 0.8117647 0.8117647 0.81960785 0.827451 0.81960785 0.8235294 0.8235294 0.827451 0.827451 0.8235294 0.81960785 0.80784315 0.8352941 0.81960785 0.81960785 0.8352941 0.827451 0.81960785 0.80784315 0.8235294 0.8156863 0.8235294 0.8117647 0.81960785 0.8039216 0.8235294 0.80784315 0.83137256 0.8156863 0.7882353 0.78431374 0.78039217 0.75686276 0.7529412 0.73333335 0.70980394 0.70980394 0.7019608 0.6901961 0.69411767 0.69803923 0.7294118 0.73333335 0.5882353 0.53333336 0.5058824 0.4862745 0.40392157 0.36862746 0.34901962 0.34117648 0.26666668 0.22745098 0.19215687 0.41960785 0.4627451 0.4745098 0.4745098 0.4862745 0.49803922 0.5019608 0.47058824 0.46666667 0.44705883 0.47058824 0.43137255 0.39607844 0.38431373 0.33333334 0.28627452 0.14117648 0.09019608 0.09019608 0.10196079 0.10196079 0.10588235 0.10980392 0.10196079 0.10196079 0.09411765 0.09411765 0.09803922 0.06666667 0.0627451 0.05882353 0.05098039 0.1254902 0.16078432 0.14117648 0.14117648 0.16862746 0.16078432 0.18431373 0.14509805 0.15686275 0.13333334 0.1254902 0.14509805 0.17254902 0.24313726 0.14509805 0.03529412 0.03137255 0.03529412 0.02745098 0.02745098 0.02352941 0.02745098 0.02352941 0.01960784 0.01568628] Instance: 43 ============ [0.3019608 0.3019608 0.3137255 0.3137255 0.30588236 0.32941177 0.34117648 0.34509805 0.3372549 0.19215687 0.9843137 0.38039216 0.36862746 0.3764706 0.3647059 0.36862746 0.3764706 0.36078432 0.36862746 0.38039216 1. 0.36078432 0.36078432 0.34901962 0.9764706 0.3137255 0.36862746 0.37254903 0.36078432 0.36078432 0.34509805 0.34901962 0.34901962 0.3529412 0.3372549 0.34117648 0.32941177 0.36078432 0.3529412 0.3764706 0.38039216 0.37254903 0.39607844 0.38431373 0.37254903 0.38431373 0.35686275 0.36078432 0.36862746 0.4 0.43529412 0.4 0.41960785 0.42745098 0.44313726 0.4392157 0.4627451 0.45490196 0.5019608 0.49019608 0.3529412 0.33333334 0.34509805 0.35686275 0.35686275 0.37254903 0.36078432 0.36078432 0.3764706 0.36862746 0.39215687 0.40392157 0.4117647 0.41568628 0.40784314 0.41568628 0.42352942 0.4392157 0.4392157 0.43529412 0.4509804 0.4509804 0.45490196 0.4509804 0.45882353 0.45490196 0.45882353 0.45490196 0.44705883 0.46666667 0.49803922 0.49803922 0.5019608 0.4862745 0.49803922 0.5058824 0.49803922 0.5176471 0.5294118 0.5254902 0.5176471 0.4745098 0.47843137 0.4509804 0.47843137 0.4509804 0.4509804 0.45490196 0.43529412 0.4745098 0.43137255 0.49019608 0.4392157 0.4627451 0.43137255 0.43137255 0.44705883 0.4509804 0.44313726 0.4117647 0.41568628 0.43529412 0.46666667 0.45490196 0.43529412 0.42745098 0.40392157 0.39607844 0.40392157 0.39607844 0.3764706 0.38431373 0.34509805 0.34117648 0.3529412 0.3137255 0.3137255 0.3529412 0.36078432 0.37254903 0.36078432 0.3647059 0.34509805 0.31764707 0.30980393 0.30588236 0.30588236 0.3019608 0.2901961 0.30980393 0.29803923 0.29803923 0.29803923 0.28235295 0.27450982 0.29411766 0.41960785 0.45490196 0.41960785 0.3764706 0.4 0.36862746 0.3764706 0.3254902 0.36078432 0.34901962 0.2784314 0.28627452 0.24313726 0.19215687 0.18039216 0.18431373 0.18039216 0.1764706 0.17254902 0.16470589 0.16862746 0.16078432 0.17254902 0.2 0.1882353 0.19607843 0.24705882 0.23137255 0.2 0.20392157 0.2627451 0.2509804 0.3019608 0.33333334 0.33333334 0.30588236 0.29411766 0.29803923 0.31764707 0.30588236 0.3254902 0.3372549 0.7019608 0.41960785 0.23529412 0.23137255 0.18039216 0.16862746 0.1764706 0.1764706 0.18039216 0.19215687 0.18039216 0.15686275 0.14117648 0.15686275 0.15294118 0.1254902 0.11764706 0.11764706 0.10980392 0.10588235 0.10588235 0.07058824 0.05490196 0.04705882 0.04705882 0.04313726] Instance: 44 ============ [0.11372549 0.10980392 0.10980392 0.09803922 0.10196079 0.09411765 0.09803922 0.09019608 0.09019608 0.09019608 0.07058824 0.07058824 0.07450981 0.07058824 0.06666667 0.06666667 0.07058824 0.06666667 0.06666667 0.06666667 0.07450981 0.08235294 0.07843138 0.08627451 0.08627451 0.09803922 0.10196079 0.09803922 0.10196079 0.10588235 0.10980392 0.10980392 0.12156863 0.1254902 0.12941177 0.12941177 0.13725491 0.14117648 0.16078432 0.16470589 0.2 0.23529412 0.25882354 0.2627451 0.26666668 0.25490198 0.26666668 0.25490198 0.28235295 0.25882354 0.26666668 0.2627451 0.20784314 0.21568628 0.21960784 0.19215687 0.20784314 0.21176471 0.20392157 0.19215687 0.16078432 0.16470589 0.1882353 0.1882353 0.20392157 0.21568628 0.19607843 0.2 0.18431373 0.18431373 0.16862746 0.23529412 0.25490198 0.26666668 0.29411766 0.2627451 0.15294118 0.13725491 0.15294118 0.15686275 0.16862746 0.18431373 0.21176471 0.2509804 0.27058825 0.3019608 0.34509805 0.36862746 0.38039216 0.39607844 0.40784314 0.38431373 0.43137255 0.47058824 0.4745098 0.4627451 0.46666667 0.48235294 0.47058824 0.49411765 0.4627451 0.49411765 0.5176471 0.6666667 0.6784314 0.72156864 0.7176471 0.7294118 0.7490196 0.7176471 0.7176471 0.7058824 0.7058824 0.7019608 0.7019608 0.7137255 0.7019608 0.69803923 0.6745098 0.6901961 0.69411767 0.6862745 0.7254902 0.7294118 0.7137255 0.7137255 0.7176471 0.7176471 0.7137255 0.69803923 0.7254902 0.7176471 0.72156864 0.7019608 0.7019608 0.6666667 0.627451 0.62352943 0.5647059 0.5058824 0.42352942 0.40392157 0.41568628 0.39607844 0.38431373 0.38431373 0.37254903 0.3529412 0.3137255 0.28627452 0.28627452 0.25882354 0.24313726 0.2 0.16862746 0.16078432 0.15686275 0.13725491 0.14117648 0.10196079 0.07843138 0.07058824 0.05882353 0.05098039 0.05490196 0.02745098 0.04313726 0.01960784 0.02352941 0.03137255 0.03529412 0.03529412 0.03137255 0.03529412 0.03137255 0.03137255 0.03137255 0.05098039 0.07450981 0.08627451 0.09411765 0.09803922 0.10196079 0.11372549 0.10980392 0.11764706 0.10980392 0.10588235 0.10196079 0.09803922 0.08235294 0.06666667 0.0627451 0.05882353 0.05490196 0.05882353 0.05490196 0.05490196 0.05490196 0.05490196 0.05490196 0.04705882 0.04705882 0.04705882 0.03529412 0.02745098 0.03137255 0.02745098 0.02745098 0.03921569 0.02352941 0.03529412 0.02745098 0.02352941 0.01960784 0.01960784 0.02352941 0.01568628 0.01568628 0.01960784 0.01960784 0.02352941 0.02352941 0.01960784] Instance: 45 ============ [0.04313726 0.04313726 0.11764706 0.15686275 0.16862746 0.18039216 0.16470589 0.1882353 0.1882353 0.19607843 0.21960784 0.85882354 0.37254903 0.4117647 0.20392157 0.22352941 0.23137255 0.23921569 0.23921569 0.25490198 0.23921569 0.26666668 0.27450982 0.26666668 0.25882354 1. 0.27450982 0.27450982 0.2509804 0.24705882 0.9647059 0.25490198 0.23921569 0.25490198 0.25490198 0.25490198 0.23921569 0.25490198 0.25490198 0.2509804 0.32156864 0.29803923 0.3019608 0.32941177 0.3137255 0.3372549 0.3372549 0.36862746 0.4 0.34117648 0.3764706 0.39607844 0.39607844 0.40784314 0.40784314 0.40784314 0.4509804 0.43137255 0.43137255 0.4392157 0.42745098 0.47843137 0.50980395 0.53333336 0.57254905 0.57254905 0.62352943 0.5921569 0.5803922 0.5254902 0.44705883 0.34901962 0.35686275 0.36078432 0.3764706 0.3764706 0.45882353 0.49411765 0.53333336 0.57254905 0.58431375 0.58431375 0.6 0.6117647 0.6156863 0.62352943 0.60784316 0.61960787 0.6313726 0.6313726 0.6392157 0.6666667 0.6745098 0.68235296 0.7019608 0.7137255 0.73333335 0.7372549 0.7372549 0.7372549 0.74509805 0.78431374 0.76862746 0.75686276 0.7372549 0.76862746 0.7882353 0.7529412 0.74509805 0.7529412 0.7411765 0.76862746 0.76862746 0.7529412 0.75686276 0.74509805 0.7411765 0.7294118 0.7529412 0.7490196 0.7490196 0.7490196 0.77254903 0.74509805 0.7607843 0.73333335 0.6901961 0.67058825 0.6745098 0.6666667 0.654902 0.6627451 0.654902 0.6313726 0.61960787 0.61960787 0.62352943 0.62352943 0.6039216 0.6039216 0.6 0.5921569 0.5882353 0.5921569 0.5647059 0.57254905 0.5686275 0.5686275 0.56078434 0.5568628 0.5176471 0.49019608 0.5058824 0.47843137 0.4745098 0.43529412 0.40784314 0.40392157 0.3647059 0.29411766 0.20392157 0.19607843 0.23529412 0.21568628 0.21176471 0.1882353 0.22352941 0.23529412 0.21568628 0.23529412 0.25882354 0.2 0.22352941 0.22745098 0.22352941 0.21960784 0.20784314 0.2 0.16862746 0.1882353 0.1882353 0.2 0.24313726 0.19607843 0.19215687 0.20392157 0.2 0.19215687 0.1882353 0.1764706 0.17254902 0.18431373 0.17254902 0.1764706 0.16078432 0.16862746 0.1764706 0.17254902 0.18039216 0.1764706 0.16078432 0.14509805 0.09803922 0.03137255 0.02352941 0.05098039 0.10588235 0.12941177 0.15294118 0.12941177 0.08235294 0.07843138 0.08627451 0.08627451 0.07450981 0.08627451 0.12156863 0.15294118 0.16470589 0.15686275 0.16862746 0.12156863 0.12941177 0.13333334] Instance: 46 ============ [0. 0. 0.9882353 0.62352943 0.01960784 0.02745098 0.03529412 0.99215686 0.28235295 0.10980392 0.11372549 0.1254902 0.13333334 0.14509805 0.17254902 0.1882353 0.20392157 0.21960784 0.23137255 0.23921569 0.24313726 0.24705882 0.2509804 0.2509804 0.2509804 0.24705882 0.27450982 0.27450982 0.28627452 0.28235295 0.28627452 0.31764707 0.32941177 0.3529412 0.32941177 0.3529412 0.37254903 0.39215687 0.37254903 0.38431373 0.39215687 0.43529412 0.4627451 0.5058824 0.49803922 0.5058824 0.5019608 0.53333336 0.52156866 0.5254902 0.54509807 0.54509807 0.5529412 0.5647059 0.5647059 0.57254905 0.5803922 0.6 0.5921569 0.5882353 0.6039216 0.6 0.627451 0.6313726 0.61960787 0.61960787 0.627451 0.654902 0.64705884 0.6666667 0.654902 0.6666667 0.68235296 0.6862745 0.6745098 0.69803923 0.6784314 0.7058824 0.72156864 0.70980394 0.70980394 0.69803923 0.6901961 0.70980394 0.70980394 0.70980394 0.70980394 0.7176471 0.7137255 0.7058824 0.6745098 0.6862745 0.6901961 0.70980394 0.69803923 0.69411767 0.7058824 0.72156864 0.7372549 0.72156864 0.70980394 0.7058824 0.7058824 0.69411767 0.6862745 0.69411767 0.7137255 0.7294118 0.7372549 0.7411765 0.7490196 0.73333335 0.73333335 0.73333335 0.73333335 0.7176471 0.7372549 0.72156864 0.7058824 0.7137255 0.7137255 0.73333335 0.73333335 0.69411767 0.69411767 0.69411767 0.6901961 0.6901961 0.69803923 0.6745098 0.6901961 0.6862745 0.6666667 0.654902 0.6666667 0.654902 0.65882355 0.6156863 0.6392157 0.63529414 0.61960787 0.627451 0.7137255 0.75686276 0.7294118 0.74509805 0.7764706 0.7254902 0.6627451 0.6627451 0.654902 0.65882355 0.6627451 0.654902 0.65882355 0.6509804 0.6313726 0.63529414 0.5921569 0.62352943 0.6039216 0.58431375 0.61960787 0.5882353 0.54901963 0.54509807 0.5294118 0.5137255 0.50980395 0.52156866 0.5294118 0.54509807 0.5176471 0.5411765 0.50980395 0.50980395 0.5176471 0.45490196 0.43529412 0.42352942 0.4117647 0.45882353 0.4745098 0.4862745 0.46666667 0.46666667 0.41568628 0.45882353 0.45490196 0.46666667 0.43137255 0.4392157 0.41960785 0.38039216 0.30588236 0.23921569 0.21960784 0.2 0.15686275 0.16862746 0.13725491 0.11764706 0.10588235 0.09411765 0.07058824 0.05882353 0.05098039 0.05490196 0.03921569 0.03137255 0.02352941 0.01568628 0.01568628 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 47 ============ [0.01176471 0.01960784 0.02745098 0.03921569 0.04705882 0.05882353 0.0627451 0.06666667 0.07058824 0.08627451 0.13725491 0.1764706 0.20784314 0.21960784 0.23529412 0.22352941 0.24313726 0.25490198 0.22745098 0.21960784 0.25882354 0.24705882 0.28235295 0.29803923 0.31764707 0.29803923 0.29803923 0.33333334 0.3647059 0.49803922 0.49803922 0.5137255 0.48235294 0.47843137 0.5019608 0.5137255 0.5058824 0.5176471 0.50980395 0.52156866 0.5058824 0.5058824 0.5176471 0.52156866 0.5058824 0.5176471 0.49803922 0.49803922 0.45490196 0.45882353 0.4627451 0.45882353 0.42745098 0.40784314 0.39607844 0.43137255 0.45882353 0.48235294 0.49019608 0.47843137 0.45882353 0.44705883 0.4392157 0.42745098 0.42352942 0.42745098 0.45490196 0.47843137 0.4862745 0.42352942 0.40784314 0.4117647 0.39607844 0.41960785 0.41960785 0.40784314 0.41960785 0.43529412 0.44313726 0.45490196 0.52156866 0.5254902 0.5529412 0.53333336 0.5254902 0.5019608 0.5137255 0.52156866 0.5411765 0.5568628 0.56078434 0.5686275 0.57254905 0.5411765 0.54901963 0.54509807 0.5254902 0.53333336 0.5372549 0.53333336 0.5764706 0.5803922 0.56078434 0.58431375 0.5882353 0.63529414 0.6313726 0.67058825 0.7019608 0.70980394 0.69411767 0.69803923 0.64705884 0.6431373 0.6117647 0.61960787 0.6156863 0.62352943 0.61960787 0.62352943 0.67058825 0.6745098 0.6666667 0.6392157 0.654902 0.6313726 0.6392157 0.6392157 0.6627451 0.6627451 0.6745098 0.6862745 0.69803923 0.7137255 0.7294118 0.73333335 0.7372549 0.7372549 0.7176471 0.72156864 0.7294118 0.7254902 0.72156864 0.7254902 0.7137255 0.7137255 0.7019608 0.6862745 0.69803923 0.68235296 0.67058825 0.68235296 0.67058825 0.6627451 0.6627451 0.6431373 0.62352943 0.61960787 0.60784316 0.5803922 0.59607846 0.5803922 0.54901963 0.4745098 0.4392157 0.42745098 0.4509804 0.44705883 0.40392157 0.29411766 0.27058825 0.27450982 0.25882354 0.25882354 0.22352941 0.2901961 0.42745098 0.5137255 0.47843137 0.41960785 0.39215687 0.4392157 0.47843137 0.44705883 0.44313726 0.47058824 0.40392157 0.41568628 0.40392157 0.38039216 0.38039216 0.39215687 0.4117647 0.40784314 0.41568628 0.4 0.34901962 0.34509805 0.3254902 0.20392157 0.14901961 0.16470589 0.15686275 0.2 0.19607843 0.18039216 0.21568628 0.19215687 0.20784314 0.23137255 0.2509804 0.21960784 0.2627451 0.3019608 0.26666668 0.23529412 0.19215687 0.15686275 0.2 0.21176471 0.23921569 0.35686275 0.4392157 0.43529412] Instance: 48 ============ [0.19607843 0.20392157 0.2 0.20392157 0.21176471 0.23137255 0.24705882 0.25882354 0.36862746 0.43137255 0.4509804 0.44313726 0.42745098 0.4117647 0.3882353 0.39607844 0.4 0.39607844 0.35686275 0.39607844 0.4627451 0.46666667 0.47058824 0.4745098 0.45882353 0.4392157 0.45490196 0.5058824 0.5176471 0.5019608 0.5137255 0.49803922 0.5254902 0.5058824 0.4627451 0.46666667 0.47058824 0.4627451 0.47058824 0.4862745 0.4509804 0.44313726 0.42745098 0.41960785 0.43137255 0.41568628 0.4117647 0.40392157 0.3882353 0.35686275 0.3019608 0.3019608 0.3019608 0.2901961 0.31764707 0.42352942 0.4862745 0.49019608 0.5137255 0.49019608 0.5294118 0.5254902 0.5372549 0.5411765 0.5647059 0.5764706 0.5764706 0.5882353 0.5882353 0.6117647 0.61960787 0.62352943 0.627451 0.6431373 0.6431373 0.6509804 0.6431373 0.6509804 0.654902 0.654902 0.65882355 0.6627451 0.67058825 0.67058825 0.68235296 0.6901961 0.72156864 0.7411765 0.7607843 0.7647059 0.76862746 0.7490196 0.7490196 0.7294118 0.7058824 0.6862745 0.67058825 0.6627451 0.654902 0.65882355 0.6627451 0.6627451 0.7137255 0.7176471 0.7058824 0.70980394 0.70980394 0.69803923 0.69411767 0.7019608 0.7176471 0.7176471 0.70980394 0.7058824 0.7137255 0.7058824 0.6666667 0.6509804 0.65882355 0.6509804 0.6627451 0.69411767 0.6745098 0.627451 0.6431373 0.65882355 0.67058825 0.68235296 0.7058824 0.6862745 0.60784316 0.58431375 0.57254905 0.57254905 0.61960787 0.6627451 0.6784314 0.65882355 0.6392157 0.6431373 0.6313726 0.6 0.56078434 0.56078434 0.5568628 0.53333336 0.5529412 0.5411765 0.5529412 0.56078434 0.5254902 0.5372549 0.52156866 0.49019608 0.4862745 0.5058824 0.5176471 0.5529412 0.5686275 0.57254905 0.5568628 0.5647059 0.5647059 0.5372549 0.5294118 0.5372549 0.5529412 0.5686275 0.5529412 0.5686275 0.5686275 0.5764706 0.57254905 0.5568628 0.54901963 0.5411765 0.47058824 0.45882353 0.46666667 0.4745098 0.44705883 0.40784314 0.4 0.39215687 0.3882353 0.3529412 0.30980393 0.30980393 0.29803923 0.26666668 0.22745098 0.16862746 0.14117648 0.10980392 0.09411765 0.09411765 0.07450981 0.06666667 0.05490196 0.04705882 0.03921569 0.02352941 0.00784314 0. 0. 0.00784314 0. 0. 0. 0. 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157 0.00392157] Instance: 49 ============ [0.08235294 0.09411765 0.09411765 0.10980392 0.13725491 0.16078432 0.14117648 0.16470589 0.16470589 0.18431373 0.13333334 0.10980392 0.1764706 0.15686275 0.14509805 0.14901961 0.14509805 0.14509805 0.16862746 0.99607843 0.12941177 0.15294118 0.14901961 0.4509804 0.19607843 0.23137255 0.22745098 0.19215687 0.2 0.21960784 0.15686275 0.16470589 0.14509805 0.16078432 0.15686275 0.16470589 0.12941177 0.13333334 0.13333334 0.13333334 0.13333334 0.14117648 0.13725491 0.14509805 0.14509805 0.15294118 0.18431373 0.26666668 0.28235295 0.2784314 0.27450982 0.30588236 0.3137255 0.3019608 0.30588236 0.34117648 0.32156864 0.4 0.4117647 0.44705883 0.4392157 0.4862745 0.5058824 0.4627451 0.45882353 0.3529412 0.20392157 0.19607843 0.20392157 0.21568628 0.21568628 0.23921569 0.22745098 0.23921569 0.2627451 0.2509804 0.25490198 0.27058825 0.25882354 0.27450982 0.28627452 0.2784314 0.2509804 0.27058825 0.2784314 0.28627452 0.28235295 0.2784314 0.2901961 0.3254902 0.3882353 0.39215687 0.40392157 0.41960785 0.41960785 0.4862745 0.40392157 0.44705883 0.41960785 0.4 0.39215687 0.36862746 0.34509805 0.38039216 0.40392157 0.36862746 0.3764706 0.37254903 0.3254902 0.4 0.36078432 0.38039216 0.3647059 0.3647059 0.3882353 0.39215687 0.39607844 0.40784314 0.41960785 0.46666667 0.4392157 0.4392157 0.49019608 0.4117647 0.41960785 0.3647059 0.27450982 0.30588236 0.2901961 0.3137255 0.30980393 0.32156864 0.3137255 0.3019608 0.29803923 0.3019608 0.28627452 0.28627452 0.28627452 0.28235295 0.25882354 0.2627451 0.2509804 0.24705882 0.25490198 0.25490198 0.22745098 0.23137255 0.21568628 0.21568628 0.23137255 0.41960785 0.4745098 0.48235294 0.4392157 0.43137255 0.4509804 0.49411765 0.47058824 0.44313726 0.3764706 0.39215687 0.36078432 0.3019608 0.27058825 0.28235295 0.22352941 0.19215687 0.18039216 0.18431373 0.18039216 0.16470589 0.16470589 0.2627451 0.2627451 0.23529412 0.2509804 0.23137255 0.2 0.20392157 0.22745098 0.2509804 0.29411766 0.37254903 0.3647059 0.24313726 0.21568628 0.21568628 0.28235295 0.28235295 0.26666668 0.26666668 0.24313726 0.29803923 0.2 0.18039216 0.19215687 0.23529412 0.23921569 0.29803923 0.27058825 0.27450982 0.3137255 0.27450982 0.2509804 0.25882354 0.25882354 0.26666668 0.2901961 0.2784314 0.3137255 0.3019608 0.31764707 0.2627451 0.27058825 0.24313726 0.2509804 0.16470589 0.11764706 0.12941177 0.1254902 0.11372549 0.10980392 0.09803922] Instance: 50 ============ [0.47843137 0.5019608 0.49803922 0.5058824 0.47843137 0.49019608 0.50980395 0.5058824 0.5294118 0.5137255 0.53333336 0.5372549 0.5294118 0.5568628 0.54901963 0.54901963 0.58431375 0.69803923 0.72156864 0.7254902 0.7294118 0.7372549 0.75686276 0.7176471 0.7058824 0.7254902 0.7294118 0.7294118 0.7294118 0.7254902 0.7176471 0.72156864 0.74509805 0.80784315 0.80784315 0.78431374 0.77254903 0.7607843 0.77254903 0.7647059 0.7607843 0.7490196 0.7411765 0.7411765 0.74509805 0.7490196 0.74509805 0.7254902 0.7490196 0.74509805 0.7372549 0.72156864 0.6745098 0.6745098 0.6627451 0.654902 0.64705884 0.63529414 0.65882355 0.6745098 0.654902 0.64705884 0.6431373 0.63529414 0.6392157 0.6509804 0.64705884 0.64705884 0.654902 0.6509804 0.654902 0.6745098 0.6666667 0.65882355 0.6666667 0.6627451 0.6627451 0.6745098 0.6627451 0.6666667 0.67058825 0.67058825 0.6862745 0.7137255 0.7254902 0.7372549 0.73333335 0.7137255 0.7254902 0.7137255 0.6901961 0.6666667 0.6509804 0.63529414 0.6313726 0.6156863 0.6392157 0.627451 0.65882355 0.67058825 0.6784314 0.6862745 0.6784314 0.6666667 0.68235296 0.68235296 0.68235296 0.6745098 0.6862745 0.6745098 0.6745098 0.6666667 0.6313726 0.6313726 0.6509804 0.63529414 0.627451 0.59607846 0.5921569 0.5921569 0.59607846 0.57254905 0.54901963 0.5568628 0.5764706 0.53333336 0.5137255 0.5294118 0.5411765 0.56078434 0.5764706 0.5568628 0.56078434 0.5372549 0.5647059 0.59607846 0.5647059 0.65882355 0.6901961 0.6745098 0.65882355 0.6431373 0.6627451 0.6509804 0.6666667 0.6627451 0.67058825 0.6627451 0.6784314 0.64705884 0.6509804 0.627451 0.6392157 0.59607846 0.56078434 0.49803922 0.50980395 0.52156866 0.5294118 0.5372549 0.5294118 0.5372549 0.57254905 0.5647059 0.57254905 0.54901963 0.5254902 0.53333336 0.5647059 0.5803922 0.5686275 0.5686275 0.58431375 0.57254905 0.59607846 0.59607846 0.6 0.60784316 0.6117647 0.59607846 0.60784316 0.6 0.6117647 0.627451 0.6156863 0.62352943 0.6313726 0.6039216 0.60784316 0.6039216 0.6156863 0.6039216 0.59607846 0.59607846 0.5803922 0.56078434 0.5372549 0.52156866 0.50980395 0.5176471 0.50980395 0.49411765 0.4862745 0.4745098 0.4745098 0.44705883 0.44705883 0.42745098 0.40392157 0.38039216 0.3882353 0.3647059 0.32941177 0.2901961 0.21176471 0.13725491 0.10588235 0.08627451 0.0627451 0.05490196 0.04313726 0.00784314 0. 0.00392157] Instance: 51 ============ [0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.01176471 0.01176471 0.9843137 0.03137255 0.02745098 0.03137255 0.03137255 0.03137255 0.03137255 0.03529412 0.03529412 0.03529412 0.02745098 1. 0.01960784 0.03529412 0.03529412 0.53333336 0.19607843 0.01568628 0.03529412 0.03921569 0.05490196 0.06666667 0.07843138 0.08235294 0.07058824 0.04705882 0.03529412 0.07058824 0.14117648 0.18039216 0.19215687 0.2 0.21568628 0.21568628 0.21960784 0.21960784 0.22352941 0.23137255 0.23529412 0.23137255 0.23921569 0.23529412 0.24313726 0.24705882 0.25490198 0.22745098 0.23921569 0.24313726 0.27058825 0.2784314 0.29803923 0.3137255 0.2901961 0.28627452 0.25490198 0.3019608 0.3372549 0.35686275 0.4117647 0.44705883 0.43137255 0.47058824 0.54509807 0.5372549 0.5647059 0.5764706 0.627451 0.6039216 0.6392157 0.63529414 0.6431373 0.65882355 0.6784314 0.7176471 0.7294118 0.7372549 0.73333335 0.7411765 0.7529412 0.7647059 0.77254903 0.7647059 0.7411765 0.7529412 0.7490196 0.75686276 0.7411765 0.7490196 0.7490196 0.7490196 0.77254903 0.8039216 0.80784315 0.78039217 0.78039217 0.7764706 0.7647059 0.76862746 0.78431374 0.78039217 0.7647059 0.79607844 0.7921569 0.8156863 0.8117647 0.7921569 0.76862746 0.78039217 0.7764706 0.7647059 0.7411765 0.7607843 0.76862746 0.7490196 0.74509805 0.7529412 0.74509805 0.7529412 0.7490196 0.7372549 0.72156864 0.74509805 0.7411765 0.74509805 0.74509805 0.7411765 0.75686276 0.7411765 0.7411765 0.72156864 0.7411765 0.7294118 0.74509805 0.76862746 0.7411765 0.78039217 0.75686276 0.75686276 0.7882353 0.75686276 0.7647059 0.77254903 0.7529412 0.7647059 0.77254903 0.7921569 0.79607844 0.77254903 0.7647059 0.7529412 0.7254902 0.70980394 0.7411765 0.7490196 0.75686276 0.75686276 0.77254903 0.73333335 0.7411765 0.74509805 0.75686276 0.74509805 0.7254902 0.7254902 0.72156864 0.69803923 0.7176471 0.7019608 0.69411767 0.6862745 0.7019608 0.72156864 0.7254902 0.6431373 0.5568628 0.5176471 0.5019608 0.47058824 0.42352942 0.39607844 0.3764706 0.36078432 0.34117648 0.35686275 0.23529412 0.07450981 0.03137255 0.03137255 0.03137255 0.03137255 0.02352941 0.02352941 0.02745098 0.02745098 0.02745098 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03529412 0.03529412 0.03529412 0.03529412 0.03529412 0.03529412 0.03529412] Instance: 52 ============ [0.01568628 0.01568628 0.01960784 0.01960784 0.01568628 0.01176471 0.01176471 0.02352941 0.00392157 1. 0.00784314 0.00784314 0.01176471 0.06666667 0.07450981 0.07450981 0.07058824 0.08235294 0.99607843 0.11372549 0.11372549 0.12156863 0.05490196 0.12156863 0.12156863 0.1254902 0.12941177 0.12941177 0.12941177 0.1254902 0.12941177 0.1254902 0.11764706 0.11764706 0.12156863 0.11372549 0.11372549 0.11372549 0.10588235 0.11372549 0.10980392 0.10196079 0.10980392 0.10588235 0.10588235 0.09803922 0.09803922 0.09803922 0.09803922 0.09019608 0.09411765 0.08627451 0.07450981 0.07450981 0.07450981 0.07450981 0.05882353 0.06666667 0.0627451 0.05098039 0.05098039 0.04705882 0.06666667 0.06666667 0.06666667 0.07058824 0.07450981 0.07450981 0.07450981 0.0627451 0.06666667 0.07450981 0.09019608 0.10980392 0.11372549 0.1254902 0.14509805 0.14117648 0.14509805 0.16078432 0.18039216 0.1764706 0.18431373 0.20392157 0.19215687 0.1882353 0.19607843 0.1764706 0.1882353 0.19215687 0.20392157 0.21176471 0.30588236 0.3372549 0.29803923 0.29803923 0.34901962 0.3372549 0.4 0.41568628 0.42352942 0.42352942 0.45882353 0.4509804 0.44705883 0.4627451 0.47058824 0.5058824 0.48235294 0.48235294 0.5372549 0.5019608 0.49019608 0.49803922 0.49411765 0.5529412 0.5176471 0.50980395 0.5176471 0.5411765 0.52156866 0.4862745 0.49019608 0.49411765 0.48235294 0.5019608 0.52156866 0.5019608 0.52156866 0.53333336 0.5411765 0.5411765 0.54509807 0.5686275 0.54509807 0.54509807 0.50980395 0.54901963 0.53333336 0.5254902 0.49803922 0.49411765 0.5137255 0.49411765 0.49019608 0.47843137 0.47843137 0.42352942 0.36862746 0.23921569 0.23921569 0.20392157 0.20392157 0.18039216 0.16078432 0.14509805 0.12941177 0.07058824 0.01568628 0.04313726 0.04313726 0.03137255 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.00392157 0. 0.00784314 0.01568628 0.02352941 0.03529412 0.03921569 0.03921569 0.04313726 0.04313726 0.03529412 0.03529412 0.02352941 0.01176471 0.00392157 0. 0.00392157 0. 0. 0.00392157 0.01568628 0.02745098 0.03529412 0.04313726 0.04705882 0.02745098 0.02745098 0.01960784 0.01960784 0.01960784 0.01568628 0.03921569 0.05490196 0.04705882 0.01960784 0.02352941 0.02352941 0.02745098 0.03529412 0.03137255 0.03529412 0.03529412 0.03529412 0.03529412] Instance: 53 ============ [0. 0. 0. 0. 0. 0. 0.00392157 0.01176471 0.02352941 0.03137255 0.03529412 0.04705882 0.07843138 0.10588235 0.1254902 0.14117648 0.1764706 0.2 0.22352941 0.21960784 0.22745098 0.23529412 0.24313726 0.27058825 0.2509804 0.25490198 0.29411766 0.38431373 0.45882353 0.5058824 0.5372549 0.5529412 0.5568628 0.5686275 0.5882353 0.6156863 0.60784316 0.6156863 0.61960787 0.6117647 0.6039216 0.6039216 0.5921569 0.5647059 0.52156866 0.5294118 0.5294118 0.5254902 0.5176471 0.50980395 0.5058824 0.5921569 0.6431373 0.7294118 0.73333335 0.7294118 0.7137255 0.7294118 0.74509805 0.72156864 0.7294118 0.7294118 0.7411765 0.7647059 0.7764706 0.7647059 0.7607843 0.76862746 0.75686276 0.76862746 0.77254903 0.78431374 0.7921569 0.8117647 0.8156863 0.81960785 0.8235294 0.81960785 0.827451 0.827451 0.83137256 0.83137256 0.83137256 0.8352941 0.84313726 0.84705883 0.84705883 0.8509804 0.8392157 0.8352941 0.8392157 0.8352941 0.84705883 0.84705883 0.84313726 0.84313726 0.8352941 0.8392157 0.83137256 0.827451 0.8117647 0.7882353 0.77254903 0.77254903 0.78431374 0.7882353 0.7764706 0.7882353 0.78431374 0.78431374 0.78431374 0.7764706 0.76862746 0.76862746 0.77254903 0.78039217 0.7607843 0.7764706 0.7529412 0.75686276 0.7529412 0.75686276 0.7607843 0.74509805 0.7294118 0.7176471 0.69803923 0.7019608 0.69803923 0.7058824 0.68235296 0.6666667 0.6392157 0.627451 0.627451 0.627451 0.60784316 0.59607846 0.5803922 0.56078434 0.5568628 0.5764706 0.53333336 0.5294118 0.5137255 0.47843137 0.41568628 0.38431373 0.40392157 0.39215687 0.41960785 0.40784314 0.3764706 0.3647059 0.4392157 0.48235294 0.4862745 0.5058824 0.54509807 0.54509807 0.5372549 0.5294118 0.54901963 0.54901963 0.5568628 0.56078434 0.5568628 0.56078434 0.61960787 0.60784316 0.6117647 0.6156863 0.60784316 0.58431375 0.6 0.5882353 0.6 0.5686275 0.54901963 0.5372549 0.54901963 0.5176471 0.49411765 0.4862745 0.4627451 0.42745098 0.3764706 0.32156864 0.30588236 0.26666668 0.29411766 0.29803923 0.3019608 0.3019608 0.29411766 0.28235295 0.2784314 0.27058825 0.24313726 0.23137255 0.20784314 0.18431373 0.1764706 0.14117648 0.12156863 0.09803922 0.08627451 0.05882353 0.04313726 0.03137255 0.02352941 0.01568628 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 54 ============ [0.05098039 0.0627451 0.07058824 0.07843138 0.09019608 0.08627451 0.08235294 0.09803922 0.09803922 0.10196079 0.8666667 0.13333334 0.02745098 0.09803922 0.10980392 0.10980392 0.11764706 0.11764706 0.11764706 0.12156863 0.12156863 0.11764706 0.11372549 1. 0.11372549 0.12156863 0.10980392 1. 0.12941177 0.1254902 0.1254902 0.1254902 0.14117648 0.14117648 0.14901961 0.15294118 0.15686275 0.15686275 0.14901961 0.15686275 0.16470589 0.17254902 0.16470589 0.15686275 0.16470589 0.15294118 0.15686275 0.16078432 0.15294118 0.14901961 0.18039216 0.18039216 0.1882353 0.18431373 0.1882353 0.2 0.1882353 0.19215687 0.2 0.20392157 0.21568628 0.20784314 0.21176471 0.21568628 0.24313726 0.23529412 0.2509804 0.25490198 0.24705882 0.2509804 0.23529412 0.23921569 0.25490198 0.23921569 0.23921569 0.24705882 0.22745098 0.23137255 0.22352941 0.21176471 0.21176471 0.2 0.23921569 0.21176471 0.20392157 0.1882353 0.17254902 0.1254902 0.12941177 0.11764706 0.1254902 0.12156863 0.10980392 0.11372549 0.13333334 0.1254902 0.1254902 0.1254902 0.12156863 0.10980392 0.14509805 0.13725491 0.16078432 0.18039216 0.18431373 0.21176471 0.25882354 0.25882354 0.23529412 0.22745098 0.22745098 0.21960784 0.25490198 0.21176471 0.29411766 0.3019608 0.30980393 0.3254902 0.3647059 0.35686275 0.35686275 0.40784314 0.5137255 0.4117647 0.43529412 0.44313726 0.4627451 0.5019608 0.5411765 0.4627451 0.43137255 0.40784314 0.38431373 0.38039216 0.36862746 0.34509805 0.35686275 0.3647059 0.34509805 0.34901962 0.34117648 0.36078432 0.36078432 0.34901962 0.33333334 0.32941177 0.32941177 0.34509805 0.3137255 0.3019608 0.3137255 0.32156864 0.31764707 0.31764707 0.33333334 0.34117648 0.3372549 0.3372549 0.3254902 0.33333334 0.33333334 0.29411766 0.30588236 0.30588236 0.3019608 0.32156864 0.31764707 0.3019608 0.3137255 0.29411766 0.29411766 0.27450982 0.2509804 0.2627451 0.25490198 0.27450982 0.25490198 0.27058825 0.27058825 0.24313726 0.2509804 0.24705882 0.23921569 0.21176471 0.18039216 0.09803922 0.10588235 0.10588235 0.11372549 0.10980392 0.11764706 0.11372549 0.1254902 0.12156863 0.1254902 0.1254902 0.12156863 0.12156863 0.10588235 0.10196079 0.1254902 0.12941177 0.11764706 0.10588235 0.10196079 0.10196079 0.09019608 0.08627451 0.07843138 0.07843138 0.08235294 0.11764706 0.07058824 0.07843138 0.07843138 0.07058824 0.07058824 0.07058824 0.0627451 0.05098039 0.02352941 0.00392157 0. 0. ] Instance: 55 ============ [0.41568628 0.38039216 0.3764706 0.3529412 0.34117648 0.36078432 0.37254903 0.36078432 0.3254902 0.3137255 0.2901961 0.28627452 0.2509804 0.19215687 0.21176471 0.23137255 0.2901961 0.30588236 0.3019608 0.3019608 0.30980393 0.3372549 0.35686275 0.3529412 0.36862746 0.3764706 0.38431373 0.39607844 0.38431373 0.38431373 0.38431373 0.40392157 0.40392157 0.4117647 0.4117647 0.39607844 0.3647059 0.36078432 0.3647059 0.34901962 0.34117648 0.34117648 0.3372549 0.35686275 0.36862746 0.3529412 0.3137255 0.3647059 0.36078432 0.35686275 0.34509805 0.33333334 0.34901962 0.35686275 0.36078432 0.36862746 0.39215687 0.4117647 0.4117647 0.43137255 0.42745098 0.41960785 0.4117647 0.4 0.42352942 0.41960785 0.45882353 0.47058824 0.45490196 0.4509804 0.44705883 0.47058824 0.49803922 0.4862745 0.49411765 0.4862745 0.5058824 0.5137255 0.50980395 0.5176471 0.5294118 0.5254902 0.53333336 0.53333336 0.5372549 0.5529412 0.5764706 0.6 0.57254905 0.54901963 0.5411765 0.5803922 0.57254905 0.6 0.5921569 0.59607846 0.59607846 0.6039216 0.5803922 0.5921569 0.5882353 0.6039216 0.6039216 0.6039216 0.6039216 0.627451 0.6313726 0.62352943 0.61960787 0.6156863 0.60784316 0.5764706 0.59607846 0.5882353 0.60784316 0.6117647 0.6117647 0.61960787 0.6313726 0.654902 0.64705884 0.6509804 0.64705884 0.64705884 0.6392157 0.62352943 0.61960787 0.63529414 0.627451 0.627451 0.627451 0.6313726 0.63529414 0.6039216 0.5882353 0.6 0.59607846 0.6156863 0.60784316 0.5921569 0.54901963 0.5294118 0.5294118 0.5137255 0.5372549 0.52156866 0.5058824 0.5058824 0.49411765 0.48235294 0.4745098 0.44705883 0.3764706 0.36078432 0.36862746 0.3764706 0.36862746 0.3882353 0.34509805 0.3647059 0.36862746 0.34509805 0.3372549 0.33333334 0.31764707 0.3137255 0.3254902 0.36078432 0.34901962 0.34509805 0.34509805 0.33333334 0.32156864 0.32941177 0.31764707 0.3529412 0.3882353 0.4117647 0.37254903 0.36862746 0.34901962 0.3882353 0.38039216 0.3882353 0.39215687 0.4392157 0.44313726 0.43529412 0.42352942 0.4117647 0.40392157 0.4 0.42352942 0.3764706 0.37254903 0.35686275 0.36078432 0.3882353 0.42352942 0.4392157 0.42352942 0.39607844 0.42352942 0.37254903 0.3647059 0.37254903 0.39215687 0.3529412 0.32941177 0.3647059 0.38431373 0.41568628 0.4117647 0.40392157 0.39607844 0.4117647 0.39607844 0.3647059 0.36862746 0.32941177 0.33333334 0.36862746 0.34117648 0.31764707] Instance: 56 ============ [0.05098039 0.05490196 0.0627451 0.06666667 0.07450981 0.07843138 0.08235294 0.08627451 0.11372549 0.12156863 0.10980392 0.10588235 0.11764706 0.11764706 0.11764706 0.11372549 0.11764706 0.99607843 0.1254902 0.1254902 0.99607843 0.14117648 0.11764706 0.12156863 0.12156863 0.1254902 0.1254902 0.12156863 0.12156863 0.12156863 0.12941177 0.12156863 0.11764706 0.11372549 0.11372549 0.11764706 0.11764706 0.12156863 0.11372549 0.11372549 0.10980392 0.10196079 0.09803922 0.08627451 0.08235294 0.08235294 0.07058824 0.0627451 0.05490196 0.05882353 0.05098039 0.04313726 0.04313726 0.04313726 0.04313726 0.01960784 0.01176471 0.00392157 0.00392157 0. 0.02352941 0.03137255 0.03529412 0.03529412 0.03529412 0.05098039 0.06666667 0.07058824 0.08627451 0.11764706 0.12941177 0.14509805 0.14901961 0.16862746 0.1764706 0.20784314 0.2509804 0.30588236 0.30980393 0.32156864 0.3254902 0.39215687 0.3882353 0.3529412 0.37254903 0.36078432 0.38431373 0.34901962 0.37254903 0.3529412 0.34509805 0.34901962 0.3372549 0.32941177 0.34509805 0.3254902 0.33333334 0.33333334 0.35686275 0.3764706 0.40392157 0.35686275 0.3254902 0.26666668 0.27058825 0.26666668 0.36078432 0.25882354 0.27058825 0.2509804 0.16470589 0.24313726 0.25490198 0.2627451 0.23137255 0.23921569 0.22745098 0.25490198 0.2627451 0.26666668 0.24705882 0.23529412 0.21960784 0.24313726 0.23137255 0.23529412 0.22745098 0.20784314 0.19215687 0.16470589 0.16862746 0.16470589 0.1764706 0.16078432 0.17254902 0.14901961 0.14901961 0.12941177 0.13725491 0.13725491 0.11372549 0.1254902 0.12156863 0.11764706 0.11372549 0.11372549 0.10196079 0.11372549 0.09803922 0.09411765 0.08235294 0.05882353 0.05882353 0.01568628 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.00392157 0. 0. 0. 0.00392157 0.00392157 0.00392157 0.00392157 0. 0. 0. 0.00392157 0. 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.00392157 0.00392157 0.00784314 0.00784314 0.00784314 0.00784314 0.01176471 0.01176471 0.01176471 0.01176471 0.01568628 0.01568628 0.01568628 0.01568628 0.01568628 0.01568628 0.01568628 0.01568628 0.01568628 0.01568628] Instance: 57 ============ [0.04705882 0.0627451 0.07058824 0.08627451 0.10196079 0.12941177 0.14901961 0.16470589 0.16078432 0.16862746 0.16078432 0.16078432 0.9254902 0.16862746 0.9843137 0.22352941 0.17254902 0.1882353 0.18039216 0.19607843 0.19607843 0.2 0.20392157 0.20784314 0.21568628 0.1882353 0.21176471 0.99607843 0.32156864 0.20784314 0.19607843 0.20392157 1. 0.49803922 0.20392157 0.20784314 0.2 0.21176471 0.22352941 0.23137255 0.22352941 0.22745098 0.22745098 0.22352941 0.23529412 0.3019608 0.37254903 0.39607844 0.3764706 0.38431373 0.40392157 0.40392157 0.41960785 0.37254903 0.3372549 0.34117648 0.32941177 0.29411766 0.31764707 0.3254902 0.34117648 0.3372549 0.34509805 0.3372549 0.34117648 0.34901962 0.3764706 0.36078432 0.38039216 0.3764706 0.38039216 0.38039216 0.3764706 0.3764706 0.36862746 0.41568628 0.4862745 0.47058824 0.47058824 0.47843137 0.49411765 0.5058824 0.4862745 0.49019608 0.4862745 0.4862745 0.4862745 0.47058824 0.5019608 0.5372549 0.5568628 0.6 0.59607846 0.6 0.6039216 0.6392157 0.61960787 0.6039216 0.6313726 0.6392157 0.6431373 0.6313726 0.64705884 0.6431373 0.6392157 0.6666667 0.654902 0.6392157 0.7254902 0.6431373 0.64705884 0.64705884 0.6509804 0.65882355 0.6627451 0.65882355 0.64705884 0.654902 0.6627451 0.64705884 0.64705884 0.65882355 0.6392157 0.6431373 0.63529414 0.6509804 0.6431373 0.63529414 0.61960787 0.6431373 0.6431373 0.63529414 0.6431373 0.6784314 0.6784314 0.6745098 0.64705884 0.6509804 0.6666667 0.65882355 0.64705884 0.6117647 0.58431375 0.5882353 0.5764706 0.5647059 0.54901963 0.5647059 0.5568628 0.5294118 0.5568628 0.5254902 0.50980395 0.4745098 0.4509804 0.45882353 0.43137255 0.40784314 0.46666667 0.5529412 0.6156863 0.6156863 0.6117647 0.5568628 0.4745098 0.49411765 0.42745098 0.3882353 0.3647059 0.3372549 0.2784314 0.23921569 0.23921569 0.21960784 0.23137255 0.2 0.24705882 0.1882353 0.17254902 0.1882353 0.16078432 0.14509805 0.10980392 0.09803922 0.11372549 0.11764706 0.12156863 0.12941177 0.12941177 0.1254902 0.12941177 0.1254902 0.1254902 0.1254902 0.12941177 0.12156863 0.11764706 0.12156863 0.11372549 0.10980392 0.13333334 0.09019608 0.08235294 0.09019608 0.07058824 0.08235294 0.05490196 0.06666667 0.06666667 0.09411765 0.09411765 0.09019608 0.07450981 0.03921569 0.03529412 0.04313726 0.02745098 0.00784314 0.01960784 0.01568628 0.03137255 0. 0. 0. ] Instance: 58 ============ [0.07058824 0.0627451 0.05882353 0.05490196 0.04705882 0.03921569 0.04705882 0.02352941 0.07450981 0.02352941 0.02745098 0.01960784 0.02745098 0.02352941 0.01960784 0.99607843 0.01568628 0.01568628 1. 0.03921569 0.05490196 0.04705882 0.03921569 0.04313726 0.04313726 0.04313726 0.03529412 0.03921569 0.04313726 0.04705882 0.04313726 0.04313726 0.03529412 0.03529412 0.03529412 0.03921569 0.05490196 0.03921569 0.03921569 0.03137255 0.03529412 0.03529412 0.02745098 0.03529412 0.02352941 0.01960784 0.02352941 0.02352941 0.01568628 0.01960784 0.01568628 0.01960784 0.01568628 0.01176471 0.01176471 0.01176471 0.00784314 0.00392157 0. 0.00392157 0.00784314 0. 0. 0.05882353 0.06666667 0.07058824 0.08235294 0.08627451 0.08627451 0.09803922 0.10980392 0.11764706 0.12941177 0.14117648 0.14509805 0.14117648 0.14509805 0.14117648 0.14901961 0.15294118 0.14509805 0.16862746 0.1764706 0.20392157 0.21568628 0.22745098 0.24313726 0.25882354 0.3254902 0.34901962 0.28627452 0.23529412 0.21568628 0.1882353 0.14901961 0.17254902 0.19215687 0.21960784 0.21176471 0.21960784 0.24313726 0.28235295 0.25882354 0.29411766 0.24705882 0.2784314 0.26666668 0.25882354 0.25490198 0.26666668 0.36078432 0.4392157 0.39607844 0.33333334 0.33333334 0.32156864 0.27058825 0.28235295 0.24313726 0.20784314 0.20392157 0.19607843 0.19607843 0.2 0.18039216 0.18431373 0.18431373 0.18039216 0.18431373 0.19215687 0.18039216 0.17254902 0.18039216 0.1764706 0.17254902 0.16862746 0.16470589 0.1764706 0.18039216 0.17254902 0.18039216 0.17254902 0.17254902 0.16862746 0.15294118 0.18431373 0.27450982 0.28235295 0.29803923 0.2901961 0.30980393 0.3137255 0.30588236 0.35686275 0.33333334 0.29803923 0.24705882 0.27450982 0.29803923 0.25882354 0.22745098 0.2509804 0.24705882 0.23921569 0.23921569 0.23921569 0.21960784 0.20784314 0.20392157 0.20392157 0.21568628 0.21176471 0.21960784 0.21960784 0.22352941 0.23529412 0.2627451 0.27450982 0.32156864 0.34117648 0.3529412 0.36862746 0.38431373 0.40392157 0.41960785 0.4117647 0.43529412 0.40392157 0.4 0.4 0.39215687 0.3882353 0.3764706 0.37254903 0.39215687 0.38039216 0.37254903 0.4 0.3137255 0.3254902 0.30588236 0.29803923 0.29803923 0.27058825 0.25882354 0.23921569 0.21568628 0.17254902 0.18039216 0.13725491 0.11764706 0.00784314 0.01176471 0.01960784 0.03921569 0.05098039 0.03921569 0.04313726 0.05490196 0.07843138 0.07058824 0.06666667 0.06666667 0.07058824] Instance: 59 ============ [0.1882353 0.21960784 0.32941177 0.4 0.4 0.45490196 0.5019608 0.49803922 0.54509807 0.54901963 0.5647059 0.57254905 0.57254905 0.5764706 0.6156863 0.6117647 0.6117647 0.6156863 0.61960787 0.6313726 0.6666667 0.67058825 0.6745098 0.6901961 0.7019608 0.7137255 0.68235296 0.7019608 0.7254902 0.72156864 0.72156864 0.7058824 0.70980394 0.69411767 0.6666667 0.64705884 0.6431373 0.6431373 0.6313726 0.6392157 0.6784314 0.70980394 0.7137255 0.7176471 0.7254902 0.72156864 0.75686276 0.7490196 0.77254903 0.76862746 0.78039217 0.78039217 0.78039217 0.81960785 0.84313726 0.7921569 0.7647059 0.7607843 0.75686276 0.7529412 0.7490196 0.7647059 0.7607843 0.7372549 0.7411765 0.7411765 0.7372549 0.7490196 0.75686276 0.7607843 0.7647059 0.7529412 0.7647059 0.75686276 0.74509805 0.7529412 0.7607843 0.75686276 0.75686276 0.7607843 0.7647059 0.7607843 0.7411765 0.7607843 0.7607843 0.7607843 0.7607843 0.76862746 0.79607844 0.7921569 0.78431374 0.78431374 0.8039216 0.8235294 0.8156863 0.8235294 0.8117647 0.8156863 0.8235294 0.8156863 0.81960785 0.827451 0.8156863 0.8156863 0.8 0.8039216 0.8039216 0.8039216 0.78431374 0.79607844 0.79607844 0.827451 0.8156863 0.81960785 0.8156863 0.8156863 0.81960785 0.8039216 0.827451 0.8235294 0.8039216 0.79607844 0.78431374 0.78039217 0.76862746 0.75686276 0.7607843 0.7647059 0.74509805 0.7607843 0.7490196 0.7529412 0.76862746 0.7411765 0.7372549 0.7372549 0.73333335 0.7294118 0.7294118 0.72156864 0.7137255 0.7137255 0.7137255 0.72156864 0.7254902 0.7176471 0.72156864 0.72156864 0.72156864 0.7294118 0.7176471 0.7058824 0.72156864 0.72156864 0.72156864 0.7176471 0.7137255 0.7294118 0.7294118 0.7372549 0.7137255 0.7176471 0.7529412 0.78431374 0.78039217 0.75686276 0.7490196 0.7607843 0.7372549 0.7529412 0.7411765 0.7058824 0.7176471 0.69803923 0.68235296 0.6627451 0.65882355 0.6509804 0.62352943 0.6117647 0.627451 0.6117647 0.62352943 0.6431373 0.67058825 0.6784314 0.6901961 0.69411767 0.6862745 0.6627451 0.6745098 0.68235296 0.64705884 0.6509804 0.6627451 0.6431373 0.65882355 0.63529414 0.5921569 0.5882353 0.6 0.6 0.5803922 0.5882353 0.5764706 0.5529412 0.54901963 0.5176471 0.5254902 0.5058824 0.47058824 0.44705883 0.43529412 0.40392157 0.3647059 0.30980393 0.22745098 0.2 0.14509805 0.12156863 0.10588235 0.07450981 0.05098039 0.02352941] Instance: 60 ============ [0.1764706 0.1882353 0.20392157 0.21176471 0.21176471 0.20784314 0.21960784 0.24313726 0.39215687 0.63529414 0.19215687 0.24705882 0.26666668 0.26666668 0.24313726 0.27058825 0.27450982 0.24705882 0.24313726 0.99607843 0.2509804 0.23921569 0.99607843 0.26666668 0.25882354 0.24705882 0.22745098 0.23529412 0.23529412 0.22352941 0.25490198 0.24705882 0.24313726 0.23529412 0.23921569 0.23529412 0.23137255 0.21568628 0.23529412 0.22745098 0.23529412 0.24705882 0.22745098 0.23921569 0.22745098 0.25490198 0.3254902 0.3647059 0.36862746 0.3882353 0.39215687 0.4 0.41960785 0.4392157 0.4627451 0.47058824 0.4509804 0.45882353 0.49019608 0.49411765 0.49803922 0.5568628 0.5254902 0.58431375 0.54509807 0.56078434 0.58431375 0.56078434 0.5647059 0.58431375 0.5882353 0.6156863 0.5803922 0.60784316 0.5921569 0.6039216 0.58431375 0.60784316 0.6156863 0.6156863 0.62352943 0.6 0.6392157 0.6 0.5882353 0.6117647 0.61960787 0.6431373 0.60784316 0.6862745 0.6745098 0.7019608 0.7058824 0.7294118 0.67058825 0.68235296 0.6901961 0.6784314 0.70980394 0.6862745 0.6901961 0.69411767 0.6784314 0.6784314 0.6431373 0.67058825 0.69803923 0.6509804 0.6627451 0.64705884 0.6666667 0.64705884 0.6745098 0.6666667 0.6784314 0.6509804 0.59607846 0.6117647 0.627451 0.64705884 0.6039216 0.59607846 0.56078434 0.6039216 0.6039216 0.5764706 0.5568628 0.53333336 0.53333336 0.53333336 0.5372549 0.5372549 0.5058824 0.53333336 0.52156866 0.5176471 0.5254902 0.52156866 0.50980395 0.4862745 0.5137255 0.49803922 0.5176471 0.5137255 0.52156866 0.5254902 0.49803922 0.54509807 0.50980395 0.4862745 0.50980395 0.49019608 0.49803922 0.5176471 0.47058824 0.49411765 0.49019608 0.46666667 0.45882353 0.47843137 0.42745098 0.40784314 0.4509804 0.41960785 0.42745098 0.44313726 0.44313726 0.44313726 0.44705883 0.43529412 0.4745098 0.5137255 0.4745098 0.5019608 0.49411765 0.46666667 0.5019608 0.49803922 0.50980395 0.49803922 0.5137255 0.5137255 0.4745098 0.44705883 0.43529412 0.45490196 0.41960785 0.4392157 0.41568628 0.4117647 0.40392157 0.3647059 0.37254903 0.37254903 0.38039216 0.37254903 0.35686275 0.3372549 0.34901962 0.38431373 0.38039216 0.3254902 0.3529412 0.36862746 0.33333334 0.2901961 0.30588236 0.29411766 0.3137255 0.28627452 0.3019608 0.28235295 0.30588236 0.26666668 0.27450982 0.2784314 0.24705882 0.22745098 0.23137255 0.23529412 0.20784314 0.14509805 0.14509805 0.12941177] Instance: 61 ============ [0.14117648 0.16862746 0.18431373 0.21176471 0.24705882 0.26666668 0.2627451 0.26666668 0.29803923 0.30980393 0.3254902 0.30980393 0.3254902 0.3529412 0.38039216 0.5137255 0.5294118 0.5686275 0.5647059 0.54901963 0.5529412 0.5411765 0.5647059 0.5686275 0.5686275 0.56078434 0.5294118 0.5058824 0.50980395 0.47843137 0.47843137 0.4862745 0.4745098 0.49411765 0.5058824 0.5137255 0.54509807 0.5372549 0.54509807 0.5529412 0.5686275 0.6 0.64705884 0.64705884 0.6392157 0.6431373 0.654902 0.6509804 0.6509804 0.6666667 0.6784314 0.69803923 0.6627451 0.5882353 0.5568628 0.54901963 0.5803922 0.57254905 0.5921569 0.6431373 0.6627451 0.67058825 0.6666667 0.6627451 0.69411767 0.73333335 0.7607843 0.7607843 0.76862746 0.75686276 0.7607843 0.75686276 0.76862746 0.76862746 0.78039217 0.78039217 0.78039217 0.79607844 0.8 0.7882353 0.79607844 0.79607844 0.79607844 0.8 0.80784315 0.8117647 0.81960785 0.80784315 0.81960785 0.83137256 0.827451 0.81960785 0.81960785 0.81960785 0.8156863 0.8117647 0.7921569 0.78039217 0.7882353 0.78039217 0.7764706 0.78039217 0.78431374 0.8 0.80784315 0.81960785 0.8039216 0.8117647 0.81960785 0.8235294 0.8156863 0.827451 0.8235294 0.827451 0.8235294 0.8156863 0.8039216 0.7921569 0.7882353 0.78431374 0.7647059 0.7529412 0.7529412 0.7607843 0.7647059 0.75686276 0.7137255 0.69411767 0.7019608 0.69411767 0.7019608 0.7058824 0.7019608 0.6862745 0.7176471 0.7137255 0.72156864 0.7490196 0.7647059 0.77254903 0.7529412 0.74509805 0.7490196 0.75686276 0.7411765 0.7372549 0.7254902 0.6431373 0.64705884 0.6509804 0.627451 0.627451 0.61960787 0.6313726 0.6313726 0.6313726 0.6431373 0.6627451 0.6627451 0.67058825 0.6784314 0.65882355 0.63529414 0.6156863 0.62352943 0.60784316 0.6392157 0.67058825 0.6666667 0.6745098 0.6745098 0.67058825 0.65882355 0.60784316 0.59607846 0.59607846 0.58431375 0.5921569 0.6 0.5921569 0.5882353 0.5803922 0.58431375 0.5803922 0.5803922 0.54509807 0.54509807 0.5411765 0.5137255 0.4862745 0.47843137 0.4627451 0.42352942 0.41960785 0.41568628 0.39215687 0.3647059 0.34901962 0.32156864 0.32156864 0.3137255 0.27450982 0.25882354 0.2 0.1882353 0.16470589 0.11372549 0.09019608 0.08235294 0.07450981 0.05098039 0.03529412 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 62 ============ [0. 0. 0. 0.00392157 0.00392157 0.00392157 0. 0. 0.00784314 0.00784314 0.01176471 0.01176471 0.9647059 0.03137255 0.00392157 0.00784314 0.00392157 0. 0. 0. 0. 0.00392157 0.00784314 0.68235296 0.2509804 0. 0. 0. 0.99607843 0.00392157 0. 0. 0. 0. 0. 0. 0.00784314 0. 0.00784314 0.07450981 0.09411765 0.10588235 0.11764706 0.15686275 0.1764706 0.2 0.21176471 0.2509804 0.25490198 0.29411766 0.28627452 0.48235294 0.5176471 0.4509804 0.48235294 0.37254903 0.42352942 0.47058824 0.5176471 0.54901963 0.5764706 0.5882353 0.6 0.60784316 0.6117647 0.61960787 0.62352943 0.6313726 0.61960787 0.62352943 0.6509804 0.6431373 0.6431373 0.64705884 0.6392157 0.63529414 0.654902 0.6862745 0.69411767 0.6745098 0.6745098 0.6862745 0.6784314 0.67058825 0.6784314 0.7019608 0.7058824 0.69803923 0.69803923 0.6901961 0.70980394 0.70980394 0.6862745 0.6901961 0.6862745 0.6784314 0.7019608 0.7176471 0.7411765 0.7058824 0.6862745 0.69411767 0.70980394 0.7294118 0.70980394 0.69803923 0.7137255 0.6862745 0.6862745 0.67058825 0.6784314 0.654902 0.654902 0.65882355 0.65882355 0.6627451 0.6392157 0.6313726 0.6156863 0.6313726 0.627451 0.62352943 0.62352943 0.6117647 0.60784316 0.61960787 0.6156863 0.6156863 0.6039216 0.59607846 0.58431375 0.5764706 0.5764706 0.5803922 0.58431375 0.5803922 0.5803922 0.54509807 0.5882353 0.5647059 0.5647059 0.5568628 0.5372549 0.54901963 0.5568628 0.54901963 0.54509807 0.5803922 0.6039216 0.6039216 0.5686275 0.5686275 0.5568628 0.5647059 0.5411765 0.47058824 0.44705883 0.47058824 0.4392157 0.43529412 0.45490196 0.4627451 0.43137255 0.40392157 0.39215687 0.4117647 0.41568628 0.41960785 0.40784314 0.4117647 0.39607844 0.39607844 0.38431373 0.3882353 0.38431373 0.38039216 0.39607844 0.38039216 0.39607844 0.3882353 0.39607844 0.39215687 0.40392157 0.39215687 0.40392157 0.39215687 0.40392157 0.39607844 0.3882353 0.3764706 0.38431373 0.39215687 0.40392157 0.4117647 0.40392157 0.38039216 0.31764707 0.25882354 0.23529412 0.23529412 0.22745098 0.23529412 0.19607843 0.1882353 0.16078432 0.17254902 0.16470589 0.15294118 0.14901961 0.15686275 0.14117648 0.14509805 0.14509805 0.14117648 0.12941177 0.13725491 0.14117648 0.14509805 0.14901961 0.15294118 0.15294118 0.14901961 0.14901961 0.14901961] Instance: 63 ============ [0.12941177 0.14509805 0.12941177 0.12941177 0.13333334 0.13333334 0.1254902 0.13333334 0.13725491 0.85490197 0.85882354 0.12941177 0.15294118 0.17254902 0.17254902 0.16078432 0.16470589 0.1764706 0.18431373 0.1882353 0.18039216 0.8745098 0.21568628 0.2784314 0.5686275 0.04313726 0.33333334 0.33333334 0.33333334 0.3764706 0.3764706 0.38039216 0.4 0.42352942 0.42745098 0.43529412 0.4509804 0.42352942 0.45490196 0.4509804 0.4627451 0.49411765 0.49411765 0.49411765 0.49019608 0.5176471 0.5137255 0.49019608 0.5254902 0.53333336 0.50980395 0.5176471 0.53333336 0.54509807 0.5294118 0.54509807 0.5411765 0.5411765 0.53333336 0.54901963 0.54901963 0.54509807 0.5686275 0.5647059 0.5568628 0.58431375 0.57254905 0.5803922 0.6 0.6117647 0.5882353 0.59607846 0.6156863 0.62352943 0.62352943 0.61960787 0.627451 0.627451 0.6156863 0.6313726 0.6392157 0.67058825 0.63529414 0.627451 0.63529414 0.6392157 0.6509804 0.6431373 0.6392157 0.6509804 0.6392157 0.6784314 0.6666667 0.6666667 0.6509804 0.6745098 0.6627451 0.63529414 0.63529414 0.6627451 0.654902 0.6392157 0.627451 0.627451 0.62352943 0.627451 0.60784316 0.6039216 0.63529414 0.61960787 0.60784316 0.627451 0.6313726 0.63529414 0.6313726 0.6313726 0.6117647 0.6313726 0.62352943 0.61960787 0.6039216 0.6039216 0.59607846 0.6117647 0.6117647 0.62352943 0.5921569 0.6039216 0.61960787 0.59607846 0.5921569 0.5882353 0.59607846 0.5764706 0.5921569 0.5647059 0.5686275 0.54901963 0.5294118 0.5176471 0.5254902 0.5176471 0.53333336 0.49803922 0.4745098 0.45882353 0.45882353 0.49019608 0.5686275 0.57254905 0.5529412 0.56078434 0.54901963 0.57254905 0.5686275 0.56078434 0.44705883 0.43137255 0.46666667 0.45882353 0.44705883 0.47058824 0.43137255 0.43529412 0.43529412 0.4862745 0.4392157 0.45882353 0.44313726 0.4745098 0.4745098 0.49019608 0.5019608 0.49411765 0.4627451 0.49803922 0.50980395 0.49019608 0.48235294 0.47058824 0.45882353 0.49411765 0.46666667 0.45882353 0.43529412 0.42745098 0.41568628 0.44313726 0.42352942 0.3882353 0.39215687 0.41960785 0.4117647 0.39215687 0.40784314 0.38431373 0.40784314 0.38431373 0.4 0.38039216 0.36862746 0.38039216 0.36862746 0.36078432 0.3372549 0.38431373 0.35686275 0.28235295 0.2784314 0.25882354 0.23921569 0.2509804 0.24313726 0.2509804 0.24705882 0.25490198 0.25882354 0.24313726 0.24705882 0.24705882 0.23137255 0.23921569 0.24313726 0.23137255] Instance: 64 ============ [0.08627451 0.09411765 0.09803922 0.10980392 0.11764706 0.13333334 0.12941177 0.10196079 0.11764706 0.03529412 0.15686275 0.16078432 0.17254902 0.1882353 0.19607843 0.19607843 0.18431373 0.39607844 0.19215687 0.20392157 0.2 0.6039216 0.19607843 0.20392157 0.19607843 0.1882353 0.18431373 0.17254902 0.18431373 0.18431373 0.18039216 0.1764706 0.17254902 0.18039216 0.1764706 0.18431373 0.19215687 0.20392157 0.20784314 0.19607843 0.20392157 0.19215687 0.1882353 0.21176471 0.2 0.20784314 0.19607843 0.20784314 0.21960784 0.21176471 0.21176471 0.23921569 0.2509804 0.24313726 0.24705882 0.2627451 0.2627451 0.27058825 0.28627452 0.30980393 0.32156864 0.3372549 0.34117648 0.33333334 0.3529412 0.3529412 0.37254903 0.34509805 0.36078432 0.3647059 0.3882353 0.38039216 0.38039216 0.40784314 0.4117647 0.44313726 0.43529412 0.44705883 0.44313726 0.45490196 0.46666667 0.45882353 0.45882353 0.4627451 0.46666667 0.4745098 0.47843137 0.49411765 0.47843137 0.49411765 0.47843137 0.5294118 0.5411765 0.5176471 0.54901963 0.5568628 0.49411765 0.49803922 0.52156866 0.5137255 0.5529412 0.50980395 0.5294118 0.52156866 0.49803922 0.5529412 0.5568628 0.5529412 0.54901963 0.52156866 0.5411765 0.52156866 0.5019608 0.49411765 0.5058824 0.49019608 0.5137255 0.53333336 0.60784316 0.4509804 0.45882353 0.4627451 0.4745098 0.4509804 0.47058824 0.4745098 0.4745098 0.4627451 0.46666667 0.46666667 0.4392157 0.44313726 0.4627451 0.5019608 0.47058824 0.49411765 0.49803922 0.49803922 0.49803922 0.49411765 0.49019608 0.4862745 0.49803922 0.47843137 0.4862745 0.4627451 0.5058824 0.5411765 0.49803922 0.44705883 0.3882353 0.4 0.39607844 0.39607844 0.38431373 0.3764706 0.34509805 0.35686275 0.33333334 0.3529412 0.34509805 0.33333334 0.34509805 0.34117648 0.32156864 0.33333334 0.32941177 0.34509805 0.39215687 0.38039216 0.39607844 0.41568628 0.40392157 0.3372549 0.3372549 0.35686275 0.34901962 0.32156864 0.31764707 0.31764707 0.29411766 0.27450982 0.34117648 0.41568628 0.40784314 0.43137255 0.4117647 0.40392157 0.4 0.29803923 0.29411766 0.32156864 0.29411766 0.31764707 0.27450982 0.2901961 0.28627452 0.28627452 0.2784314 0.2627451 0.28627452 0.27450982 0.28235295 0.29411766 0.29803923 0.29803923 0.23137255 0.21960784 0.21176471 0.21176471 0.19607843 0.1764706 0.19215687 0.16862746 0.1764706 0.17254902 0.16078432 0.15686275 0.16078432 0.14509805 0.1254902 0.11764706 0.12156863 0.12156863] Instance: 65 ============ [0.07058824 0.07843138 0.08627451 0.09411765 0.09411765 0.09019608 0.09803922 0.08235294 0.02745098 0.99215686 0.09019608 0.10980392 0.10196079 0.11372549 0.11764706 0.12156863 0.11764706 0.12941177 1. 0.13725491 0.13333334 0.15294118 0.0627451 0.14117648 0.13725491 0.14117648 0.14901961 0.14509805 0.14901961 0.15294118 0.14901961 0.15294118 0.15686275 0.14117648 0.16078432 0.16470589 0.14901961 0.15686275 0.16862746 0.15686275 0.16470589 0.18039216 0.16470589 0.16862746 0.16470589 0.1764706 0.17254902 0.18039216 0.1882353 0.19215687 0.20392157 0.20784314 0.18039216 0.2 0.21960784 0.21568628 0.22352941 0.24313726 0.23921569 0.22745098 0.2509804 0.26666668 0.24705882 0.2509804 0.2784314 0.28235295 0.26666668 0.2901961 0.3137255 0.32156864 0.30980393 0.30588236 0.32156864 0.3254902 0.3254902 0.3254902 0.3254902 0.34509805 0.3254902 0.34117648 0.3529412 0.33333334 0.35686275 0.34509805 0.34509805 0.3647059 0.35686275 0.3764706 0.3647059 0.36862746 0.40784314 0.3764706 0.39215687 0.39215687 0.43529412 0.39607844 0.38039216 0.39215687 0.39607844 0.38431373 0.37254903 0.43137255 0.45882353 0.44705883 0.43529412 0.5058824 0.47843137 0.46666667 0.48235294 0.47843137 0.5058824 0.5019608 0.5058824 0.50980395 0.5058824 0.5058824 0.49411765 0.50980395 0.47843137 0.5058824 0.47843137 0.47058824 0.49411765 0.45882353 0.45490196 0.44705883 0.4745098 0.45882353 0.4509804 0.5529412 0.5647059 0.5019608 0.45882353 0.43137255 0.43529412 0.44705883 0.43137255 0.41568628 0.41568628 0.41568628 0.41960785 0.38039216 0.38431373 0.39215687 0.38431373 0.36862746 0.3764706 0.38039216 0.35686275 0.37254903 0.34117648 0.3137255 0.34509805 0.32156864 0.32941177 0.3254902 0.3372549 0.3137255 0.2901961 0.30980393 0.3019608 0.28627452 0.29411766 0.2784314 0.25882354 0.19607843 0.2 0.20392157 0.17254902 0.17254902 0.18039216 0.18039216 0.20784314 0.22745098 0.22352941 0.20392157 0.19215687 0.20392157 0.20784314 0.2 0.20392157 0.2 0.21568628 0.21568628 0.1882353 0.18431373 0.2 0.19215687 0.1882353 0.19607843 0.1882353 0.19607843 0.19607843 0.1882353 0.1764706 0.19215687 0.18431373 0.19607843 0.18039216 0.1882353 0.18039216 0.15294118 0.13725491 0.12941177 0.13333334 0.1254902 0.10980392 0.12156863 0.10980392 0.10588235 0.10980392 0.10980392 0.10980392 0.10588235 0.10588235 0.09803922 0.08627451 0.07843138 0.07058824 0.06666667 0.05098039 0.04705882 0.03137255 0.03137255] Instance: 66 ============ [0.02352941 0.03529412 0.05098039 0.06666667 0.07843138 0.08627451 0.10980392 0.12156863 0.15294118 0.16078432 0.18039216 0.18431373 0.17254902 0.17254902 0.19215687 0.20392157 0.23137255 0.27058825 0.30980393 0.41568628 0.46666667 0.44705883 0.48235294 0.49411765 0.49411765 0.4745098 0.50980395 0.5294118 0.5411765 0.5529412 0.56078434 0.5686275 0.58431375 0.5529412 0.5411765 0.5254902 0.52156866 0.47843137 0.4862745 0.49411765 0.49411765 0.49019608 0.49803922 0.5019608 0.4862745 0.4745098 0.46666667 0.47843137 0.47058824 0.4509804 0.45882353 0.45490196 0.47058824 0.50980395 0.5137255 0.5058824 0.53333336 0.5058824 0.54509807 0.5176471 0.50980395 0.50980395 0.50980395 0.5254902 0.5294118 0.5137255 0.4745098 0.48235294 0.47058824 0.49019608 0.52156866 0.53333336 0.5372549 0.5372549 0.54509807 0.56078434 0.5568628 0.56078434 0.5686275 0.5803922 0.5803922 0.59607846 0.6313726 0.6313726 0.64705884 0.6627451 0.67058825 0.68235296 0.7019608 0.6392157 0.62352943 0.5686275 0.54509807 0.56078434 0.5294118 0.5411765 0.5372549 0.49803922 0.47843137 0.47058824 0.44705883 0.44313726 0.4862745 0.49411765 0.49803922 0.5254902 0.5372549 0.5921569 0.6 0.6117647 0.627451 0.63529414 0.654902 0.6509804 0.6431373 0.63529414 0.65882355 0.6509804 0.6431373 0.64705884 0.6313726 0.627451 0.627451 0.6117647 0.6039216 0.6 0.60784316 0.5882353 0.6 0.59607846 0.6156863 0.6 0.6509804 0.6784314 0.6784314 0.654902 0.6784314 0.78039217 0.78431374 0.7019608 0.7176471 0.7490196 0.7529412 0.69411767 0.6 0.5686275 0.5529412 0.5254902 0.54901963 0.5647059 0.5529412 0.57254905 0.5568628 0.5254902 0.5372549 0.5803922 0.5647059 0.5764706 0.5686275 0.5647059 0.5568628 0.54901963 0.54901963 0.52156866 0.5254902 0.54901963 0.5254902 0.5294118 0.5176471 0.53333336 0.5294118 0.54901963 0.52156866 0.5294118 0.5294118 0.5411765 0.53333336 0.5058824 0.49411765 0.43529412 0.43137255 0.39607844 0.39215687 0.36078432 0.3137255 0.29803923 0.27450982 0.25882354 0.24313726 0.21960784 0.2 0.1882353 0.16470589 0.15294118 0.1254902 0.10588235 0.09411765 0.07058824 0.05098039 0.03529412 0.02352941 0.01176471 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 67 ============ [0.16470589 0.18431373 0.1764706 0.18431373 0.1882353 0.21176471 0.23137255 0.23137255 0.40392157 0.6627451 0.22745098 0.25490198 0.25490198 0.25882354 0.2509804 0.28627452 0.29411766 0.28235295 0.26666668 0.99215686 0.25490198 0.24705882 1. 0.24313726 0.2509804 0.2509804 0.24705882 0.25490198 0.23529412 0.24313726 0.23921569 0.23529412 0.22352941 0.21568628 0.21568628 0.20392157 0.21176471 0.26666668 0.16862746 0.19607843 0.2 0.21176471 0.21176471 0.20392157 0.21176471 0.23921569 0.21568628 0.22745098 0.21960784 0.22745098 0.22745098 0.20392157 0.22745098 0.23529412 0.23921569 0.23921569 0.23921569 0.24705882 0.23529412 0.22745098 0.23921569 0.2509804 0.24705882 0.24313726 0.21568628 0.27058825 0.26666668 0.27058825 0.25882354 0.27058825 0.25882354 0.2901961 0.29803923 0.28235295 0.29411766 0.2784314 0.2784314 0.2901961 0.29803923 0.28235295 0.3372549 0.38431373 0.38431373 0.39215687 0.40784314 0.40784314 0.40392157 0.4117647 0.42352942 0.4392157 0.44705883 0.42745098 0.42352942 0.47058824 0.4745098 0.5882353 0.5686275 0.49803922 0.5019608 0.4862745 0.54901963 0.5254902 0.57254905 0.5686275 0.54509807 0.5529412 0.5686275 0.5647059 0.5921569 0.54509807 0.57254905 0.6313726 0.5686275 0.57254905 0.6 0.56078434 0.61960787 0.64705884 0.5764706 0.6039216 0.53333336 0.5686275 0.5686275 0.5529412 0.5803922 0.5529412 0.57254905 0.5647059 0.57254905 0.52156866 0.5254902 0.46666667 0.44313726 0.43137255 0.4117647 0.35686275 0.3764706 0.3764706 0.38039216 0.34509805 0.35686275 0.32156864 0.30588236 0.32156864 0.30980393 0.28627452 0.2627451 0.21568628 0.22745098 0.22745098 0.2 0.21568628 0.22745098 0.21176471 0.19607843 0.29411766 0.3647059 0.34509805 0.27450982 0.27450982 0.23921569 0.23137255 0.25882354 0.27450982 0.24313726 0.21176471 0.1882353 0.2 0.21568628 0.19215687 0.18431373 0.18431373 0.18431373 0.19215687 0.25490198 0.26666668 0.2 0.16078432 0.11372549 0.09019608 0.06666667 0.08235294 0.05882353 0.07058824 0.0627451 0.0627451 0.07450981 0.07450981 0.07058824 0.04705882 0.07058824 0.07450981 0.07058824 0.07058824 0.09019608 0.07450981 0.10588235 0.11764706 0.14117648 0.15294118 0.19607843 0.11764706 0.15686275 0.20784314 0.1764706 0.16078432 0.18039216 0.16078432 0.14117648 0.13725491 0.12156863 0.10980392 0.05490196 0.07058824 0.0627451 0.10196079 0.09803922 0.10980392 0.08235294 0.09411765 0.11372549 0.10196079 0.13725491 0.12156863] Instance: 68 ============ [0.04705882 0.04705882 0.04705882 0.04705882 0.04313726 0.04313726 0.05882353 0.03137255 0.0627451 0.03529412 0.03137255 0.03137255 0.03137255 0.02352941 0.01960784 0.5294118 0.00784314 0.00392157 0.99607843 0.07058824 0.09019608 0.10588235 0.10980392 0.11764706 0.12156863 0.11764706 0.12156863 0.12156863 0.11764706 0.12156863 0.12156863 0.11764706 0.11764706 0.11764706 0.11764706 0.11372549 0.12156863 0.11372549 0.12156863 0.10980392 0.10980392 0.11372549 0.10980392 0.09019608 0.09019608 0.09019608 0.0627451 0.18039216 0.19607843 0.21176471 0.23137255 0.23921569 0.24313726 0.2627451 0.25490198 0.27058825 0.2627451 0.27450982 0.27450982 0.28235295 0.2901961 0.31764707 0.3137255 0.31764707 0.3529412 0.34117648 0.35686275 0.3372549 0.3372549 0.34509805 0.34509805 0.34117648 0.34901962 0.36078432 0.3372549 0.36078432 0.3882353 0.39607844 0.37254903 0.39607844 0.39607844 0.41568628 0.4117647 0.42352942 0.45490196 0.4509804 0.4509804 0.4627451 0.49019608 0.47843137 0.52156866 0.5372549 0.5372549 0.5019608 0.5019608 0.5176471 0.50980395 0.52156866 0.5137255 0.5411765 0.49803922 0.5176471 0.53333336 0.5058824 0.49019608 0.50980395 0.4862745 0.49803922 0.49019608 0.48235294 0.48235294 0.50980395 0.49019608 0.49411765 0.4627451 0.4392157 0.40784314 0.41568628 0.45490196 0.43137255 0.4392157 0.43529412 0.41960785 0.40784314 0.4392157 0.4745098 0.42352942 0.3529412 0.34117648 0.3254902 0.32156864 0.30980393 0.3019608 0.30588236 0.29411766 0.2509804 0.23529412 0.20392157 0.20784314 0.20784314 0.21176471 0.19607843 0.2 0.2 0.20784314 0.21568628 0.2 0.19607843 0.19215687 0.20784314 0.19607843 0.18431373 0.2 0.2 0.21568628 0.23137255 0.23137255 0.23529412 0.22745098 0.20784314 0.21176471 0.24705882 0.20784314 0.20392157 0.21960784 0.22352941 0.21176471 0.23529412 0.23529412 0.20784314 0.23921569 0.23921569 0.23529412 0.19215687 0.21176471 0.19215687 0.16078432 0.14901961 0.14901961 0.13725491 0.14117648 0.16470589 0.19607843 0.1764706 0.2 0.1882353 0.2 0.20784314 0.20784314 0.19215687 0.18039216 0.1882353 0.1764706 0.19215687 0.18039216 0.16078432 0.15294118 0.15686275 0.15686275 0.16862746 0.1764706 0.18039216 0.19215687 0.20784314 0.19607843 0.18039216 0.15294118 0.15294118 0.18039216 0.17254902 0.16862746 0.16078432 0.16078432 0.12156863 0.11372549 0.09411765 0.05882353 0.03921569 0.03529412 0.03529412 0.03137255 0.01960784 0.00784314 0. ] Instance: 69 ============ [0.1254902 0.11764706 0.1254902 0.11764706 0.11764706 0.12941177 0.13333334 0.14117648 0.13333334 0.14117648 0.87058824 0.18431373 0.03921569 0.13725491 0.15294118 0.13333334 0.12941177 0.13333334 0.14117648 0.13333334 0.12941177 0.13333334 0.14117648 0.99215686 0.14901961 0.13725491 0.13725491 0.9882353 0.10980392 0.11764706 0.12156863 0.12156863 0.12156863 0.1254902 0.14901961 0.14117648 0.12941177 0.12941177 0.13725491 0.12156863 0.12941177 0.11764706 0.12941177 0.15294118 0.18039216 0.28627452 0.33333334 0.4 0.43137255 0.42745098 0.4392157 0.4117647 0.43529412 0.47843137 0.44705883 0.50980395 0.52156866 0.5411765 0.52156866 0.52156866 0.5137255 0.5137255 0.44313726 0.3529412 0.39215687 0.41568628 0.44313726 0.43529412 0.43529412 0.48235294 0.5019608 0.5137255 0.53333336 0.54901963 0.5568628 0.57254905 0.5764706 0.5803922 0.5921569 0.57254905 0.58431375 0.5921569 0.6039216 0.60784316 0.6666667 0.64705884 0.6666667 0.6666667 0.6666667 0.6784314 0.67058825 0.6784314 0.6901961 0.70980394 0.6862745 0.6784314 0.6627451 0.6509804 0.68235296 0.6784314 0.6745098 0.67058825 0.68235296 0.6784314 0.68235296 0.6862745 0.68235296 0.67058825 0.67058825 0.6784314 0.67058825 0.6862745 0.67058825 0.6784314 0.6862745 0.6862745 0.6784314 0.69411767 0.68235296 0.6745098 0.6862745 0.7019608 0.70980394 0.7019608 0.69803923 0.69411767 0.7137255 0.7411765 0.7137255 0.7137255 0.7019608 0.68235296 0.6862745 0.6666667 0.654902 0.6509804 0.6627451 0.654902 0.6431373 0.6745098 0.6509804 0.6509804 0.6431373 0.6745098 0.70980394 0.7058824 0.69803923 0.6745098 0.6627451 0.6862745 0.7176471 0.7176471 0.69803923 0.68235296 0.654902 0.62352943 0.69411767 0.52156866 0.52156866 0.48235294 0.47058824 0.4745098 0.44313726 0.4392157 0.41960785 0.39215687 0.38431373 0.3647059 0.3529412 0.3372549 0.3254902 0.3254902 0.30980393 0.29411766 0.2901961 0.25882354 0.2509804 0.23529412 0.23529412 0.22745098 0.2 0.2 0.18039216 0.17254902 0.16470589 0.14901961 0.13333334 0.12941177 0.10980392 0.10196079 0.09019608 0.07058824 0.05490196 0.05098039 0.03137255 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01568628 0.01176471 0.00784314 0.00392157 0.00392157 0.00392157 0.00784314 0.00392157 0.00392157 0.00784314 0. 0. 0.00784314 0.01568628 0.00392157 0.01176471 0.01176471 0.01176471 0.01176471 0.01568628] Instance: 70 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.02352941 0.03529412 0.05098039 0.07450981 0.09019608 0.11764706 0.15686275 0.1764706 0.20392157 0.22745098 0.23529412 0.21568628 0.22352941 0.24705882 0.30588236 0.36078432 0.40392157 0.4392157 0.48235294 0.5019608 0.54901963 0.57254905 0.62352943 0.6392157 0.64705884 0.6666667 0.654902 0.67058825 0.6901961 0.7137255 0.73333335 0.7372549 0.75686276 0.7529412 0.7529412 0.7490196 0.74509805 0.8117647 0.7764706 0.7176471 0.70980394 0.72156864 0.72156864 0.7058824 0.7254902 0.7294118 0.73333335 0.7254902 0.7294118 0.74509805 0.78431374 0.79607844 0.79607844 0.7921569 0.8117647 0.80784315 0.7882353 0.77254903 0.8 0.7921569 0.76862746 0.7607843 0.7647059 0.7764706 0.8 0.8117647 0.77254903 0.7607843 0.7529412 0.78431374 0.78039217 0.78431374 0.8352941 0.8352941 0.83137256 0.8352941 0.84705883 0.8392157 0.81960785 0.7882353 0.7882353 0.79607844 0.7647059 0.78039217 0.7882353 0.8039216 0.8235294 0.8235294 0.8352941 0.84313726 0.84313726 0.84313726 0.8392157 0.84313726 0.8235294 0.8039216 0.8039216 0.8156863 0.827451 0.8509804 0.8352941 0.81960785 0.8156863 0.8156863 0.8039216 0.8117647 0.8156863 0.8156863 0.7647059 0.76862746 0.7647059 0.7882353 0.8 0.7882353 0.7764706 0.78039217 0.77254903 0.7529412 0.70980394 0.70980394 0.7058824 0.7137255 0.7176471 0.7058824 0.6901961 0.68235296 0.67058825 0.7254902 0.73333335 0.74509805 0.7254902 0.74509805 0.74509805 0.7607843 0.78431374 0.77254903 0.76862746 0.70980394 0.67058825 0.6627451 0.65882355 0.6509804 0.6509804 0.6431373 0.5882353 0.5647059 0.5372549 0.5058824 0.49803922 0.4745098 0.4392157 0.4 0.38431373 0.3372549 0.32156864 0.3137255 0.2784314 0.2509804 0.22745098 0.17254902 0.15294118 0.11372549 0.07843138 0.05490196 0.03137255 0.01960784 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 71 ============ [0.19215687 0.23529412 0.27450982 0.29411766 0.2509804 0.23529412 0.22352941 0.21960784 0.22745098 0.24313726 0.2627451 0.44705883 0.49411765 0.03529412 0.29803923 0.27058825 0.25490198 0.26666668 0.2784314 0.2784314 0.29803923 0.29803923 0.28235295 0.2901961 0.2901961 0.99607843 0.31764707 0.36078432 0.3529412 0.78039217 0.5294118 0.45490196 0.39215687 0.36078432 0.38039216 0.36078432 0.3647059 0.3764706 0.37254903 0.38039216 0.37254903 0.3882353 0.3882353 0.39607844 0.40784314 0.39607844 0.4 0.40392157 0.40784314 0.4509804 0.4745098 0.45882353 0.47843137 0.4745098 0.47058824 0.4862745 0.4862745 0.45490196 0.41568628 0.40392157 0.4 0.39607844 0.42352942 0.42745098 0.43137255 0.41568628 0.42352942 0.43137255 0.43137255 0.4509804 0.45490196 0.42352942 0.43137255 0.43137255 0.5254902 0.5372549 0.54509807 0.5411765 0.54509807 0.5176471 0.53333336 0.5294118 0.5294118 0.5411765 0.5294118 0.54509807 0.5372549 0.5882353 0.54901963 0.5176471 0.49803922 0.49019608 0.5254902 0.50980395 0.5137255 0.5019608 0.50980395 0.50980395 0.5647059 0.56078434 0.5411765 0.5254902 0.53333336 0.5294118 0.5137255 0.47058824 0.5254902 0.56078434 0.56078434 0.5411765 0.5372549 0.5764706 0.5921569 0.5529412 0.6117647 0.64705884 0.5764706 0.5764706 0.5647059 0.57254905 0.6039216 0.6039216 0.5921569 0.5803922 0.53333336 0.5764706 0.56078434 0.5764706 0.5647059 0.53333336 0.54901963 0.5254902 0.54509807 0.53333336 0.54901963 0.54901963 0.53333336 0.52156866 0.5176471 0.53333336 0.50980395 0.5137255 0.49803922 0.5058824 0.49411765 0.52156866 0.5058824 0.49411765 0.49411765 0.48235294 0.49019608 0.47058824 0.4627451 0.44313726 0.44313726 0.44313726 0.4392157 0.44705883 0.41960785 0.41960785 0.4117647 0.4 0.36862746 0.49411765 0.5803922 0.5921569 0.54509807 0.5372549 0.5764706 0.6 0.59607846 0.5176471 0.4627451 0.3647059 0.33333334 0.33333334 0.3137255 0.34117648 0.34117648 0.35686275 0.3882353 0.3529412 0.3372549 0.34901962 0.34509805 0.3372549 0.28235295 0.3019608 0.2901961 0.30588236 0.32156864 0.3254902 0.30980393 0.3137255 0.31764707 0.3137255 0.29803923 0.30588236 0.32156864 0.3137255 0.31764707 0.31764707 0.3137255 0.30588236 0.28627452 0.29411766 0.2784314 0.25490198 0.27058825 0.25882354 0.23921569 0.2509804 0.22745098 0.22745098 0.22352941 0.21568628 0.21176471 0.2 0.21568628 0.18431373 0.18431373 0.18039216 0.16470589 0.14117648]
testing_data_array = np.asarray(grayscale_testing_data)
print("Grayscale X-ray Image of testing Data")
print("=======================================")
print("Grayscale X-ray Image of testing Data into Numpy Array Form")
print("===========================================================")
for i in range(len(testing_data)):
display(grayscale_testing_data[i][0],"Grayscale Image")
print("Instance: ",i)
print("============ \n")
print(testing_data_array[i][0])
i=i+1
Grayscale X-ray Image of testing Data ======================================= Grayscale X-ray Image of testing Data into Numpy Array Form =========================================================== Instance: 0 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 1 ============ [[ 0 0 0 ... 44 35 17] [ 0 0 0 ... 44 32 23] [ 0 0 0 ... 45 32 14] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 2 ============ [[ 86 97 101 ... 43 29 3] [ 90 96 100 ... 44 27 2] [ 92 101 102 ... 43 24 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 3 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 4 ============ [[141 131 133 ... 0 0 0] [131 136 137 ... 0 0 0] [136 149 152 ... 0 0 0] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 5 ============ [[ 59 68 84 ... 85 92 103] [ 46 44 50 ... 103 107 96] [ 42 46 42 ... 110 93 62] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 6 ============ [[ 0 7 18 ... 175 183 189] [ 0 7 21 ... 186 178 162] [ 0 3 15 ... 171 157 167] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 7 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 8 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 2 2 2] [0 0 0 ... 5 5 7] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 9 ============ [[ 73 83 90 ... 196 233 254] [ 70 81 90 ... 193 228 254] [ 73 82 89 ... 190 227 255] ... [ 0 0 0 ... 0 0 10] [ 0 0 0 ... 0 0 9] [ 0 0 0 ... 0 0 10]] Instance: 10 ============ [[ 0 0 0 ... 247 91 7] [ 0 0 0 ... 6 254 6] [ 0 0 0 ... 11 218 15] ... [ 1 0 0 ... 0 0 0] [ 5 250 254 ... 0 0 2] [159 252 8 ... 0 0 157]] Instance: 11 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 12 ============ [[156 163 168 ... 159 246 122] [156 163 164 ... 159 137 127] [156 163 162 ... 159 50 116] ... [ 41 119 102 ... 0 0 2] [ 1 213 132 ... 0 0 0] [ 8 10 7 ... 0 0 0]] Instance: 13 ============ [[ 1 3 3 ... 250 35 4] [ 1 3 3 ... 9 253 1] [ 0 1 2 ... 12 113 13] ... [ 91 39 176 ... 0 0 0] [ 7 232 250 ... 0 1 1] [157 248 5 ... 0 2 158]] Instance: 14 ============ [[ 20 24 28 ... 17 19 23] [ 21 24 30 ... 16 18 21] [ 21 29 31 ... 14 16 19] ... [138 145 150 ... 17 21 20] [139 145 151 ... 17 16 20] [143 149 151 ... 17 17 24]] Instance: 15 ============ [[ 7 12 16 ... 6 248 7] [ 6 11 15 ... 3 0 0] [ 6 8 13 ... 9 250 4] ... [ 0 0 1 ... 0 0 1] [ 6 246 252 ... 0 0 1] [ 1 10 7 ... 0 0 1]] Instance: 16 ============ [[173 171 167 ... 132 132 137] [176 164 160 ... 132 124 137] [170 169 157 ... 128 118 138] ... [ 65 93 117 ... 18 18 18] [ 67 98 120 ... 18 18 18] [ 68 103 122 ... 18 18 18]] Instance: 17 ============ [[ 59 73 74 ... 133 241 84] [ 62 77 73 ... 100 87 78] [ 58 69 87 ... 108 31 84] ... [ 0 0 0 ... 0 0 0] [ 2 117 254 ... 0 0 0] [ 9 0 0 ... 0 0 0]] Instance: 18 ============ [[ 0 0 0 ... 197 95 6] [ 0 0 0 ... 13 22 2] [ 0 0 0 ... 219 249 9] ... [ 45 72 104 ... 0 0 0] [ 4 249 245 ... 0 0 7] [159 18 0 ... 0 0 158]] Instance: 19 ============ [[127 129 130 ... 115 112 113] [147 135 132 ... 113 117 126] [141 142 136 ... 254 39 122] ... [ 20 45 63 ... 250 70 1] [ 20 42 62 ... 4 1 0] [ 22 47 65 ... 0 0 0]]
print("Testing Data in Numpy Array into Input Feature Vector and Output Labels")
print("=======================================================================")
input_testing_data,output_testing_label = split(testing_data_array)
print("Testing Data After Split")
print("=========================")
print("\nFeature Vector of Testing Data")
print("================================")
print(input_testing_data)
print("\nOutput Labels of Testing Data")
print("================================\n")
print (output_testing_label)
Testing Data in Numpy Array into Input Feature Vector and Output Labels
=======================================================================
Testing Data After Split
=========================
Feature Vector of Testing Data
================================
[array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 44, 35, 17],
[ 0, 0, 0, ..., 44, 32, 23],
[ 0, 0, 0, ..., 45, 32, 14],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 86, 97, 101, ..., 43, 29, 3],
[ 90, 96, 100, ..., 44, 27, 2],
[ 92, 101, 102, ..., 43, 24, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[141, 131, 133, ..., 0, 0, 0],
[131, 136, 137, ..., 0, 0, 0],
[136, 149, 152, ..., 0, 0, 0],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 59, 68, 84, ..., 85, 92, 103],
[ 46, 44, 50, ..., 103, 107, 96],
[ 42, 46, 42, ..., 110, 93, 62],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 7, 18, ..., 175, 183, 189],
[ 0, 7, 21, ..., 186, 178, 162],
[ 0, 3, 15, ..., 171, 157, 167],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 2, 2, 2],
[0, 0, 0, ..., 5, 5, 7],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 73, 83, 90, ..., 196, 233, 254],
[ 70, 81, 90, ..., 193, 228, 254],
[ 73, 82, 89, ..., 190, 227, 255],
...,
[ 0, 0, 0, ..., 0, 0, 10],
[ 0, 0, 0, ..., 0, 0, 9],
[ 0, 0, 0, ..., 0, 0, 10]], dtype=uint8), array([[ 0, 0, 0, ..., 247, 91, 7],
[ 0, 0, 0, ..., 6, 254, 6],
[ 0, 0, 0, ..., 11, 218, 15],
...,
[ 1, 0, 0, ..., 0, 0, 0],
[ 5, 250, 254, ..., 0, 0, 2],
[159, 252, 8, ..., 0, 0, 157]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[156, 163, 168, ..., 159, 246, 122],
[156, 163, 164, ..., 159, 137, 127],
[156, 163, 162, ..., 159, 50, 116],
...,
[ 41, 119, 102, ..., 0, 0, 2],
[ 1, 213, 132, ..., 0, 0, 0],
[ 8, 10, 7, ..., 0, 0, 0]], dtype=uint8), array([[ 1, 3, 3, ..., 250, 35, 4],
[ 1, 3, 3, ..., 9, 253, 1],
[ 0, 1, 2, ..., 12, 113, 13],
...,
[ 91, 39, 176, ..., 0, 0, 0],
[ 7, 232, 250, ..., 0, 1, 1],
[157, 248, 5, ..., 0, 2, 158]], dtype=uint8), array([[ 20, 24, 28, ..., 17, 19, 23],
[ 21, 24, 30, ..., 16, 18, 21],
[ 21, 29, 31, ..., 14, 16, 19],
...,
[138, 145, 150, ..., 17, 21, 20],
[139, 145, 151, ..., 17, 16, 20],
[143, 149, 151, ..., 17, 17, 24]], dtype=uint8), array([[ 7, 12, 16, ..., 6, 248, 7],
[ 6, 11, 15, ..., 3, 0, 0],
[ 6, 8, 13, ..., 9, 250, 4],
...,
[ 0, 0, 1, ..., 0, 0, 1],
[ 6, 246, 252, ..., 0, 0, 1],
[ 1, 10, 7, ..., 0, 0, 1]], dtype=uint8), array([[173, 171, 167, ..., 132, 132, 137],
[176, 164, 160, ..., 132, 124, 137],
[170, 169, 157, ..., 128, 118, 138],
...,
[ 65, 93, 117, ..., 18, 18, 18],
[ 67, 98, 120, ..., 18, 18, 18],
[ 68, 103, 122, ..., 18, 18, 18]], dtype=uint8), array([[ 59, 73, 74, ..., 133, 241, 84],
[ 62, 77, 73, ..., 100, 87, 78],
[ 58, 69, 87, ..., 108, 31, 84],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 2, 117, 254, ..., 0, 0, 0],
[ 9, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 197, 95, 6],
[ 0, 0, 0, ..., 13, 22, 2],
[ 0, 0, 0, ..., 219, 249, 9],
...,
[ 45, 72, 104, ..., 0, 0, 0],
[ 4, 249, 245, ..., 0, 0, 7],
[159, 18, 0, ..., 0, 0, 158]], dtype=uint8), array([[127, 129, 130, ..., 115, 112, 113],
[147, 135, 132, ..., 113, 117, 126],
[141, 142, 136, ..., 254, 39, 122],
...,
[ 20, 45, 63, ..., 250, 70, 1],
[ 20, 42, 62, ..., 4, 1, 0],
[ 22, 47, 65, ..., 0, 0, 0]], dtype=uint8)]
Output Labels of Testing Data
================================
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
normalized_testing_data = data_normalization(input_testing_data)
print("Normalization of Feature Vecotrs of Testing Data")
print("================================================\n")
for i in range(len(testing_data)):
print("Instance: ",i)
print("============ \n")
print(normalized_testing_data[i][0])
i=i+1
Normalization of Feature Vecotrs of Testing Data ================================================ Instance: 0 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00784314 0.00784314 0.01960784 0.03529412 0.04313726 0.07058824 0.11372549 0.14117648 0.17254902 0.18431373 0.1882353 0.20392157 0.21960784 0.2509804 0.26666668 0.25882354 0.26666668 0.2784314 0.28235295 0.28627452 0.2901961 0.2901961 0.30588236 0.31764707 0.3764706 0.4 0.4392157 0.44705883 0.47058824 0.49803922 0.5137255 0.50980395 0.49803922 0.48235294 0.4392157 0.41960785 0.4 0.3882353 0.36862746 0.37254903 0.37254903 0.37254903 0.3882353 0.38039216 0.3882353 0.3882353 0.3882353 0.38039216 0.3882353 0.37254903 0.3764706 0.38039216 0.3647059 0.38431373 0.40392157 0.4 0.3882353 0.36078432 0.3019608 0.2627451 0.25882354 0.22745098 0.2627451 0.28235295 0.25882354 0.25882354 0.29411766 0.28235295 0.36862746 0.42352942 0.4627451 0.5058824 0.5294118 0.5254902 0.5254902 0.5254902 0.5568628 0.57254905 0.57254905 0.58431375 0.5686275 0.5882353 0.5882353 0.5764706 0.5647059 0.5764706 0.6 0.6156863 0.6 0.60784316 0.627451 0.6156863 0.63529414 0.63529414 0.62352943 0.64705884 0.63529414 0.63529414 0.6392157 0.64705884 0.68235296 0.7058824 0.7372549 0.7019608 0.69411767 0.7019608 0.7058824 0.68235296 0.6901961 0.6745098 0.6784314 0.70980394 0.7490196 0.7372549 0.7490196 0.72156864 0.72156864 0.7294118 0.70980394 0.7411765 0.7294118 0.7294118 0.7294118 0.69803923 0.6784314 0.6627451 0.6313726 0.59607846 0.6 0.57254905 0.5882353 0.58431375 0.5764706 0.6039216 0.58431375 0.5921569 0.5764706 0.5686275 0.57254905 0.5764706 0.5764706 0.57254905 0.54901963 0.5294118 0.5137255 0.5137255 0.5372549 0.5254902 0.5568628 0.5019608 0.38431373 0.19607843 0.18431373 0.21568628 0.21176471 0.26666668 0.2784314 0.29803923 0.30980393 0.29411766 0.3019608 0.28627452 0.3137255 0.34509805 0.34901962 0.36078432 0.35686275 0.34901962 0.3372549 0.33333334 0.3372549 0.32941177 0.32941177 0.40784314 0.5372549 0.45882353 0.46666667 0.48235294 0.4627451 0.45882353 0.43137255 0.45490196 0.45882353 0.41568628 0.38431373 0.39215687 0.3882353 0.41960785 0.46666667 0.2901961 0.28235295 0.25882354 0.23529412 0.22745098 0.23137255 0.21960784 0.21960784 0.20392157 0.20784314 0.18431373 0.16470589 0.16862746 0.15686275 0.14901961 0.14117648 0.11372549 0.09411765 0.08627451 0.05882353 0.03921569 0.02352941 0. 0. 0. 0. ] Instance: 1 ============ [0. 0. 0. 0. 0.05490196 0.10196079 0.14901961 0.1764706 0.19607843 0.22745098 0.2627451 0.27058825 0.29411766 0.34117648 0.35686275 0.38039216 0.42745098 0.47058824 0.47843137 0.47843137 0.4862745 0.49019608 0.48235294 0.49019608 0.49803922 0.5058824 0.5568628 0.5686275 0.5921569 0.58431375 0.63529414 0.627451 0.64705884 0.6117647 0.627451 0.63529414 0.6431373 0.6392157 0.6431373 0.6627451 0.60784316 0.6 0.6156863 0.59607846 0.5686275 0.56078434 0.56078434 0.5254902 0.5176471 0.52156866 0.5058824 0.5686275 0.57254905 0.5647059 0.5764706 0.58431375 0.6117647 0.5058824 0.5176471 0.52156866 0.54509807 0.5254902 0.53333336 0.54901963 0.5529412 0.56078434 0.5411765 0.53333336 0.56078434 0.53333336 0.52156866 0.53333336 0.5058824 0.5294118 0.5294118 0.49019608 0.4745098 0.4745098 0.4745098 0.47058824 0.4745098 0.5176471 0.5058824 0.5058824 0.5137255 0.5019608 0.49411765 0.4509804 0.4745098 0.47843137 0.49803922 0.4745098 0.49019608 0.50980395 0.50980395 0.5294118 0.5176471 0.5411765 0.5568628 0.5764706 0.58431375 0.58431375 0.5921569 0.60784316 0.6392157 0.6666667 0.6745098 0.627451 0.6117647 0.6039216 0.5921569 0.5803922 0.57254905 0.5372549 0.5372549 0.5254902 0.50980395 0.5254902 0.53333336 0.5254902 0.57254905 0.5686275 0.57254905 0.61960787 0.6117647 0.6117647 0.6431373 0.6039216 0.6117647 0.5921569 0.5647059 0.5137255 0.47058824 0.48235294 0.47058824 0.49411765 0.48235294 0.5176471 0.5176471 0.5372549 0.5411765 0.5254902 0.53333336 0.53333336 0.5176471 0.5058824 0.5176471 0.5176471 0.5372549 0.5058824 0.5176471 0.5137255 0.53333336 0.5254902 0.52156866 0.5137255 0.5019608 0.5137255 0.53333336 0.5372549 0.5294118 0.52156866 0.5686275 0.5647059 0.54509807 0.5647059 0.5803922 0.5686275 0.54901963 0.54509807 0.54509807 0.54509807 0.53333336 0.53333336 0.49411765 0.5019608 0.49803922 0.5058824 0.5058824 0.52156866 0.5294118 0.5254902 0.52156866 0.50980395 0.5058824 0.5058824 0.52156866 0.5411765 0.62352943 0.63529414 0.64705884 0.64705884 0.6431373 0.65882355 0.6509804 0.67058825 0.6784314 0.68235296 0.6862745 0.654902 0.65882355 0.6313726 0.5803922 0.52156866 0.53333336 0.5176471 0.5058824 0.52156866 0.54901963 0.49803922 0.5019608 0.49019608 0.46666667 0.43137255 0.41568628 0.3647059 0.34901962 0.30588236 0.2627451 0.2509804 0.20392157 0.17254902 0.13725491 0.06666667] Instance: 2 ============ [0.3372549 0.38039216 0.39607844 0.41568628 0.41960785 0.5764706 0.5529412 0.5882353 0.5647059 0.6 0.58431375 0.5882353 0.60784316 0.5686275 0.6039216 0.5686275 0.627451 0.60784316 0.5647059 0.5647059 0.5803922 0.59607846 0.5803922 0.5882353 0.54901963 0.41568628 0.42352942 0.4509804 0.40784314 0.41568628 0.43137255 0.43137255 0.4509804 0.45882353 0.47058824 0.47843137 0.49019608 0.47843137 0.47843137 0.46666667 0.4745098 0.47058824 0.4627451 0.43529412 0.42745098 0.40392157 0.41568628 0.39215687 0.40392157 0.3882353 0.3764706 0.34901962 0.32156864 0.2901961 0.2627451 0.22745098 0.18039216 0.14509805 0.10980392 0.07450981 0.16470589 0.2 0.19607843 0.1882353 0.20784314 0.22745098 0.20784314 0.16078432 0.16862746 0.20784314 0.23137255 0.23921569 0.28627452 0.27450982 0.31764707 0.33333334 0.32156864 0.34117648 0.3647059 0.39607844 0.4117647 0.40784314 0.4117647 0.41960785 0.44705883 0.4745098 0.5137255 0.5294118 0.50980395 0.5019608 0.5529412 0.5647059 0.5803922 0.5647059 0.58431375 0.5921569 0.6313726 0.627451 0.6156863 0.59607846 0.59607846 0.54509807 0.54901963 0.5411765 0.47843137 0.47843137 0.46666667 0.46666667 0.4745098 0.47843137 0.4862745 0.46666667 0.5411765 0.5921569 0.6 0.5921569 0.56078434 0.5686275 0.5568628 0.53333336 0.54901963 0.5372549 0.50980395 0.5254902 0.58431375 0.5254902 0.49411765 0.4745098 0.47843137 0.49803922 0.49019608 0.47843137 0.4745098 0.44705883 0.43137255 0.41568628 0.41960785 0.39607844 0.3882353 0.34901962 0.34509805 0.31764707 0.3019608 0.30588236 0.29803923 0.30980393 0.3372549 0.34901962 0.3529412 0.3529412 0.3137255 0.29803923 0.3137255 0.33333334 0.34117648 0.3647059 0.38039216 0.38039216 0.42352942 0.43137255 0.44313726 0.44705883 0.44313726 0.44313726 0.44705883 0.53333336 0.60784316 0.5686275 0.5764706 0.54901963 0.5686275 0.5921569 0.5764706 0.5686275 0.5568628 0.50980395 0.49019608 0.5019608 0.49803922 0.4745098 0.47843137 0.4627451 0.54509807 0.52156866 0.50980395 0.50980395 0.5137255 0.5372549 0.53333336 0.54509807 0.6431373 0.6156863 0.5568628 0.5372549 0.5921569 0.5921569 0.5803922 0.6117647 0.62352943 0.6117647 0.6156863 0.6431373 0.5882353 0.59607846 0.59607846 0.5882353 0.52156866 0.5137255 0.53333336 0.5058824 0.5176471 0.41568628 0.4 0.38431373 0.36862746 0.3372549 0.3372549 0.30588236 0.29803923 0.25882354 0.21568628 0.16862746 0.11372549 0.01176471] Instance: 3 ============ [0. 0. 0. 0. 0. 0. 0.02745098 0.05490196 0.08627451 0.11372549 0.13333334 0.15294118 0.16470589 0.18431373 0.22745098 0.2627451 0.28627452 0.30588236 0.3137255 0.32941177 0.35686275 0.37254903 0.38039216 0.38039216 0.37254903 0.4 0.40784314 0.39607844 0.45490196 0.52156866 0.5372549 0.5686275 0.5647059 0.61960787 0.6 0.6313726 0.64705884 0.6392157 0.6901961 0.6627451 0.60784316 0.5647059 0.627451 0.63529414 0.6392157 0.654902 0.61960787 0.54509807 0.57254905 0.54901963 0.5529412 0.5647059 0.56078434 0.58431375 0.6 0.5921569 0.6 0.6117647 0.6666667 0.7372549 0.7411765 0.7294118 0.74509805 0.78039217 0.76862746 0.7647059 0.7372549 0.74509805 0.7529412 0.85490197 0.78039217 0.6156863 0.4862745 0.49019608 0.5647059 0.56078434 0.57254905 0.5176471 0.6 0.60784316 0.64705884 0.6392157 0.64705884 0.6156863 0.654902 0.67058825 0.67058825 0.6862745 0.7764706 0.8627451 0.87058824 0.8235294 0.8117647 0.8039216 0.81960785 0.78431374 0.79607844 0.7882353 0.85490197 0.8784314 0.9098039 0.84313726 0.8862745 0.88235295 0.79607844 0.8 0.7764706 0.7529412 0.77254903 0.80784315 0.8117647 0.8666667 0.8235294 0.8392157 0.77254903 0.8039216 0.8156863 0.80784315 0.8117647 0.827451 0.84313726 0.8666667 0.8784314 0.8352941 0.80784315 0.7882353 0.8039216 0.8352941 0.7529412 0.6745098 0.63529414 0.627451 0.60784316 0.59607846 0.5411765 0.5019608 0.50980395 0.4627451 0.4392157 0.3764706 0.33333334 0.22352941 0.14509805 0.15686275 0.23137255 0.28235295 0.29803923 0.27450982 0.15686275 0.19607843 0.2509804 0.27450982 0.30980393 0.3254902 0.3254902 0.34509805 0.38431373 0.41960785 0.43529412 0.44705883 0.45882353 0.45882353 0.47058824 0.47058824 0.48235294 0.5058824 0.50980395 0.5019608 0.5058824 0.54901963 0.5372549 0.5764706 0.5803922 0.58431375 0.5882353 0.56078434 0.5254902 0.56078434 0.56078434 0.5647059 0.56078434 0.52156866 0.54901963 0.54509807 0.5568628 0.58431375 0.57254905 0.58431375 0.40784314 0.38431373 0.3764706 0.38039216 0.37254903 0.3764706 0.37254903 0.3882353 0.36862746 0.36862746 0.3372549 0.33333334 0.33333334 0.31764707 0.3019608 0.28235295 0.27058825 0.23921569 0.22745098 0.19215687 0.18039216 0.16078432 0.15686275 0.13333334 0.1254902 0.10588235 0.08235294 0.05882353 0.03921569 0. 0. 0. 0. 0. 0. 0. ] Instance: 4 ============ [0.5529412 0.5137255 0.52156866 0.5294118 0.5254902 0.5686275 0.5372549 0.57254905 0.54901963 0.5529412 0.5019608 0.49803922 0.45490196 0.43137255 0.43529412 0.41568628 0.42352942 0.34901962 0.2509804 0.25490198 0.21568628 0.23529412 0.24705882 0.28627452 0.30980393 0.30980393 0.31764707 0.3137255 0.33333334 0.3137255 0.30588236 0.2901961 0.2627451 0.23921569 0.23921569 0.20392157 0.20392157 0.16862746 0.13333334 0.09019608 0.19215687 0.28235295 0.29803923 0.27058825 0.27450982 0.27450982 0.24313726 0.20392157 0.16078432 0.14901961 0.21176471 0.34117648 0.69803923 0.74509805 0.7607843 0.6784314 0.6627451 0.6901961 0.74509805 0.7176471 0.67058825 0.69411767 0.7372549 0.7764706 0.76862746 0.78039217 0.78039217 0.7607843 0.69803923 0.63529414 0.59607846 0.5764706 0.56078434 0.5882353 0.5764706 0.5529412 0.5764706 0.57254905 0.56078434 0.5803922 0.6392157 0.6509804 0.6509804 0.6901961 0.6862745 0.72156864 0.72156864 0.69803923 0.6901961 0.5921569 0.5372549 0.58431375 0.5568628 0.5411765 0.53333336 0.5294118 0.54509807 0.5176471 0.5568628 0.5568628 0.63529414 0.63529414 0.62352943 0.5529412 0.5568628 0.5803922 0.5921569 0.6 0.60784316 0.6313726 0.62352943 0.6313726 0.6039216 0.57254905 0.5372549 0.53333336 0.5176471 0.48235294 0.47843137 0.48235294 0.45490196 0.42352942 0.4392157 0.43529412 0.43137255 0.3882353 0.3764706 0.34901962 0.34117648 0.30588236 0.27450982 0.3764706 0.4 0.3882353 0.38039216 0.38431373 0.36078432 0.39607844 0.40784314 0.4 0.4117647 0.42352942 0.4509804 0.45490196 0.47843137 0.4627451 0.45882353 0.4627451 0.48235294 0.4627451 0.46666667 0.4627451 0.45490196 0.4627451 0.44705883 0.44705883 0.47058824 0.47843137 0.4627451 0.48235294 0.45882353 0.4392157 0.45490196 0.41568628 0.5019608 0.5176471 0.49411765 0.45882353 0.4745098 0.4745098 0.4117647 0.42352942 0.40784314 0.43137255 0.47843137 0.52156866 0.49019608 0.52156866 0.5411765 0.58431375 0.6313726 0.7294118 0.7294118 0.6509804 0.6156863 0.5686275 0.6509804 0.67058825 0.6431373 0.6666667 0.6392157 0.6117647 0.5921569 0.5764706 0.57254905 0.60784316 0.6 0.5647059 0.50980395 0.5058824 0.4117647 0.40392157 0.3764706 0.3529412 0.35686275 0.3254902 0.32941177 0.30588236 0.28235295 0.27058825 0.24705882 0.22352941 0.17254902 0.1254902 0.09411765 0.09411765 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 5 ============ [0.23137255 0.26666668 0.32941177 0.36862746 0.3882353 0.3882353 0.41960785 0.41960785 0.42745098 0.43137255 0.39215687 0.3529412 0.32941177 0.30980393 0.30980393 0.31764707 0.3137255 0.32156864 0.3372549 0.34901962 0.32156864 0.32156864 0.31764707 0.29411766 0.28627452 0.29411766 0.3137255 0.36078432 0.34901962 0.38039216 0.38431373 0.38039216 0.4 0.41960785 0.42352942 0.4392157 0.43137255 0.44705883 0.4627451 0.45490196 0.43529412 0.44705883 0.47058824 0.40784314 0.39607844 0.4 0.40392157 0.38431373 0.4 0.40392157 0.4117647 0.3882353 0.40392157 0.4117647 0.38039216 0.40784314 0.41960785 0.41568628 0.43529412 0.43529412 0.42352942 0.4392157 0.44313726 0.44705883 0.45490196 0.44705883 0.43529412 0.49019608 0.44313726 0.45490196 0.4862745 0.4627451 0.4627451 0.4509804 0.44313726 0.4745098 0.45490196 0.47843137 0.5529412 0.5921569 0.6156863 0.6666667 0.69411767 0.7411765 0.7764706 0.80784315 0.7372549 0.72156864 0.7019608 0.7137255 0.68235296 0.6627451 0.65882355 0.6666667 0.65882355 0.65882355 0.654902 0.654902 0.6509804 0.6431373 0.6431373 0.6392157 0.6666667 0.6313726 0.65882355 0.7294118 0.7176471 0.76862746 0.77254903 0.7137255 0.7254902 0.69803923 0.68235296 0.6431373 0.63529414 0.6117647 0.58431375 0.6 0.59607846 0.54901963 0.54509807 0.5882353 0.58431375 0.5921569 0.63529414 0.67058825 0.6901961 0.7294118 0.73333335 0.7882353 0.7921569 0.7921569 0.8392157 0.8862745 0.83137256 0.81960785 0.827451 0.78431374 0.7529412 0.7529412 0.7882353 0.74509805 0.74509805 0.76862746 0.78431374 0.76862746 0.7764706 0.77254903 0.7490196 0.7529412 0.7607843 0.8 0.8352941 0.8901961 0.90588236 0.8509804 0.8862745 0.90588236 0.9843137 1. 0.99607843 0.99215686 0.8980392 0.8509804 0.78431374 0.7529412 0.7411765 0.7254902 0.69803923 0.6901961 0.69411767 0.6862745 0.6862745 0.6431373 0.6117647 0.5921569 0.56078434 0.5254902 0.50980395 0.5137255 0.50980395 0.4862745 0.43137255 0.43529412 0.38431373 0.39215687 0.38431373 0.40784314 0.4117647 0.39607844 0.4 0.42352942 0.40784314 0.42352942 0.40784314 0.42745098 0.41960785 0.4509804 0.4862745 0.47058824 0.49019608 0.5058824 0.45490196 0.44705883 0.4509804 0.4509804 0.42745098 0.42352942 0.39607844 0.37254903 0.39215687 0.38431373 0.3647059 0.34509805 0.33333334 0.28627452 0.29803923 0.30588236 0.30588236 0.33333334 0.34901962 0.33333334 0.36078432 0.40392157] Instance: 6 ============ [0. 0.02745098 0.07058824 0.14117648 0.21176471 0.24313726 0.2627451 0.30588236 0.32156864 0.34509805 0.3882353 0.42745098 0.44705883 0.45882353 0.4627451 0.47843137 0.47843137 0.46666667 0.5019608 0.5372549 0.54509807 0.5529412 0.60784316 0.5647059 0.60784316 0.6156863 0.63529414 0.6666667 0.64705884 0.7372549 0.7019608 0.69411767 0.7176471 0.5921569 0.6901961 0.654902 0.60784316 0.59607846 0.6392157 0.6431373 0.6392157 0.6627451 0.63529414 0.627451 0.654902 0.7058824 0.6 0.56078434 0.5372549 0.5411765 0.56078434 0.5568628 0.5882353 0.5686275 0.5764706 0.6 0.5921569 0.5882353 0.60784316 0.6313726 0.6431373 0.6901961 0.6784314 0.7058824 0.7411765 0.7607843 0.7647059 0.7137255 0.65882355 0.5686275 0.5176471 0.48235294 0.47843137 0.48235294 0.47058824 0.48235294 0.49411765 0.47843137 0.48235294 0.4745098 0.47843137 0.5019608 0.49803922 0.5019608 0.47843137 0.49803922 0.5058824 0.50980395 0.52156866 0.53333336 0.52156866 0.52156866 0.5058824 0.52156866 0.53333336 0.53333336 0.5411765 0.5529412 0.6 0.5686275 0.5764706 0.5686275 0.6 0.62352943 0.6 0.6039216 0.5803922 0.6431373 0.6117647 0.6313726 0.60784316 0.627451 0.65882355 0.6666667 0.6627451 0.7058824 0.7058824 0.7019608 0.69803923 0.7411765 0.75686276 0.6901961 0.627451 0.6117647 0.57254905 0.5647059 0.54509807 0.54901963 0.5372549 0.6509804 0.65882355 0.6509804 0.6784314 0.6627451 0.64705884 0.6784314 0.6745098 0.6784314 0.6784314 0.63529414 0.61960787 0.5921569 0.6156863 0.5647059 0.5647059 0.57254905 0.53333336 0.5137255 0.49019608 0.5058824 0.49803922 0.5019608 0.49019608 0.49803922 0.5176471 0.5137255 0.48235294 0.47843137 0.45882353 0.43529412 0.41960785 0.4 0.3882353 0.3764706 0.37254903 0.34117648 0.32941177 0.3019608 0.29411766 0.27058825 0.25882354 0.19607843 0.1882353 0.16470589 0.14901961 0.10980392 0.01568628 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.04313726 0.16862746 0.22352941 0.22745098 0.23137255 0.27450982 0.3137255 0.3647059 0.38039216 0.38039216 0.40392157 0.41960785 0.41960785 0.39607844 0.42745098 0.42745098 0.44705883 0.4392157 0.4392157 0.44313726 0.44705883 0.4627451 0.4745098 0.4862745 0.5137255 0.53333336 0.53333336 0.54509807 0.56078434 0.5686275 0.6 0.60784316 0.63529414 0.62352943 0.6862745 0.7176471 0.7411765 ] Instance: 7 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0.02745098 0.05882353 0.09803922 0.13725491 0.1764706 0.22352941 0.25490198 0.28627452 0.3019608 0.31764707 0.32156864 0.3372549 0.3372549 0.34117648 0.35686275 0.35686275 0.38039216 0.39607844 0.39607844 0.42745098 0.43529412 0.43137255 0.44313726 0.4627451 0.47843137 0.5176471 0.53333336 0.5254902 0.5137255 0.52156866 0.5019608 0.5254902 0.5411765 0.53333336 0.5372549 0.53333336 0.5254902 0.5411765 0.5529412 0.5764706 0.57254905 0.5764706 0.5647059 0.58431375 0.5647059 0.5568628 0.5568628 0.5529412 0.5529412 0.54509807 0.5411765 0.5294118 0.5294118 0.53333336 0.5529412 0.56078434 0.5372549 0.54901963 0.5686275 0.5411765 0.53333336 0.57254905 0.654902 0.7490196 0.7529412 0.654902 0.6509804 0.6862745 0.7019608 0.70980394 0.70980394 0.7294118 0.7372549 0.7607843 0.7647059 0.8 0.7921569 0.78039217 0.78431374 0.75686276 0.75686276 0.7607843 0.8 0.7882353 0.78039217 0.7490196 0.76862746 0.79607844 0.85490197 0.827451 0.8117647 0.8117647 0.79607844 0.7882353 0.74509805 0.7607843 0.72156864 0.6901961 0.69803923 0.6666667 0.6666667 0.6509804 0.6666667 0.67058825 0.6901961 0.7019608 0.69803923 0.69411767 0.6784314 0.70980394 0.69411767 0.68235296 0.7294118 0.69803923 0.7490196 0.7764706 0.69803923 0.64705884 0.6431373 0.6431373 0.6313726 0.627451 0.56078434 0.5137255 0.53333336 0.5372549 0.54509807 0.54901963 0.5568628 0.5764706 0.54901963 0.54509807 0.5568628 0.5411765 0.5137255 0.52156866 0.5176471 0.5137255 0.6784314 0.77254903 0.74509805 0.7058824 0.6392157 0.6509804 0.6156863 0.63529414 0.68235296 0.6666667 0.60784316 0.5921569 0.5882353 0.5764706 0.5529412 0.5372549 0.5372549 0.52156866 0.52156866 0.54901963 0.56078434 0.5764706 0.56078434 0.5686275 0.6156863 0.6313726 0.60784316 0.60784316 0.59607846 0.60784316 0.5882353 0.5686275 0.53333336 0.5647059 0.5882353 0.5764706 0.57254905 0.57254905 0.5764706 0.5568628 0.53333336 0.5254902 0.5254902 0.5019608 0.47058824 0.43137255 0.42745098 0.42745098 0.42352942 0.40784314 0.39607844 0.38039216 0.36862746 0.3372549 0.34117648 0.35686275 0.33333334 0.32941177 0.3137255 0.29411766 0.26666668 0.25490198 0.21960784 0.1882353 0.16470589 0.14117648 0.12941177 0.09803922 0.04705882 0.01960784 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 8 ============ [0. 0. 0. 0. 0. 0. 0.00392157 0.03137255 0.04705882 0.07843138 0.09411765 0.09803922 0.10980392 0.11372549 0.10588235 0.12156863 0.11372549 0.10196079 0.11372549 0.11372549 0.10980392 0.10588235 0.11764706 0.10196079 0.09411765 0.09019608 0.09803922 0.08627451 0.07843138 0.08627451 0.0627451 0.06666667 0.05882353 0.05490196 0.04705882 0.04313726 0.03529412 0.02745098 0.02352941 0.01176471 0. 0.00392157 0.00392157 0. 0. 0. 0.00392157 0.0627451 0.07450981 0.06666667 0.06666667 0.08627451 0.12156863 0.11764706 0.14117648 0.14901961 0.13333334 0.09019608 0.03529412 0.01568628 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00784314 0.00392157 0.0627451 0.06666667 0.08235294 0.07450981 0.08235294 0.10980392 0.12941177 0.1764706 0.20784314 0.24705882 0.25490198 0.2627451 0.27058825 0.33333334 0.3372549 0.34117648 0.32156864 0.34901962 0.35686275 0.36078432 0.36078432 0.35686275 0.36862746 0.44313726 0.44313726 0.45882353 0.4627451 0.50980395 0.54509807 0.58431375 0.6 0.57254905 0.4627451 0.4745098 0.43137255 0.38431373 0.37254903 0.38039216 0.41568628 0.42352942 0.39607844 0.41568628 0.3882353 0.4 0.40784314 0.4117647 0.42745098 0.42352942 0.43529412 0.41568628 0.32941177 0.33333334 0.3529412 0.3647059 0.39607844 0.39215687 0.5058824 0.58431375 0.54901963 0.53333336 0.5529412 0.54509807 0.6039216 0.5647059 0.50980395 0.4862745 0.4745098 0.4392157 0.41568628 0.39607844 0.42745098 0.4392157 0.43529412 0.41568628 0.41960785 0.42352942 0.39215687 0.39607844 0.4117647 0.38431373 0.3647059 0.39215687 0.38039216 0.40392157 0.40784314 0.39607844 0.38039216 0.32156864 0.23529412 0.11764706 0.09411765 0.07058824 0.03529412 0.02745098 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0. 0.01176471 0.00392157 0.01176471 0.00784314 0.01960784 0.02352941 0.03529412 0.02745098 0.00784314 0.01568628 0.01176471 0.01568628 0.01176471 0. 0. 0. 0. 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 9 ============ [0.28627452 0.3254902 0.3529412 0.37254903 0.38431373 0.39215687 0.40784314 0.40784314 0.41960785 0.40784314 0.42352942 0.41960785 0.4862745 0.60784316 0.6117647 0.59607846 0.5686275 0.59607846 0.5921569 0.5647059 0.56078434 0.5686275 0.5686275 0.5764706 0.5529412 0.56078434 0.58431375 0.5921569 0.5294118 0.4862745 0.4627451 0.49019608 0.43529412 0.40392157 0.3254902 0.3372549 0.37254903 0.40392157 0.42352942 0.41960785 0.43137255 0.42745098 0.41960785 0.40784314 0.40784314 0.4 0.40392157 0.43529412 0.45882353 0.46666667 0.48235294 0.4862745 0.48235294 0.4862745 0.4745098 0.47058824 0.47058824 0.46666667 0.46666667 0.45882353 0.42745098 0.44705883 0.4392157 0.44313726 0.44705883 0.45490196 0.49019608 0.4745098 0.4862745 0.48235294 0.4627451 0.4627451 0.46666667 0.48235294 0.4627451 0.46666667 0.48235294 0.4862745 0.49019608 0.5019608 0.49019608 0.5058824 0.49803922 0.49803922 0.49803922 0.5137255 0.50980395 0.49411765 0.49803922 0.49019608 0.4862745 0.48235294 0.47843137 0.46666667 0.47058824 0.5372549 0.54509807 0.53333336 0.5647059 0.5372549 0.5294118 0.5137255 0.54509807 0.5803922 0.61960787 0.6431373 0.62352943 0.59607846 0.58431375 0.59607846 0.59607846 0.5647059 0.5568628 0.58431375 0.5254902 0.49019608 0.50980395 0.50980395 0.5019608 0.49803922 0.50980395 0.5764706 0.59607846 0.6117647 0.6117647 0.60784316 0.6862745 0.69803923 0.7176471 0.6666667 0.59607846 0.5803922 0.58431375 0.5764706 0.5764706 0.5686275 0.56078434 0.5686275 0.54901963 0.5254902 0.54509807 0.54901963 0.5137255 0.5137255 0.5411765 0.5254902 0.5294118 0.50980395 0.5137255 0.5137255 0.5019608 0.5019608 0.49019608 0.45490196 0.44313726 0.44313726 0.45882353 0.45882353 0.44705883 0.44705883 0.45882353 0.44705883 0.43529412 0.42745098 0.4 0.41568628 0.39215687 0.38431373 0.38039216 0.39215687 0.39607844 0.43529412 0.44313726 0.42745098 0.40392157 0.40392157 0.41960785 0.41568628 0.40784314 0.40392157 0.4117647 0.4392157 0.46666667 0.46666667 0.4745098 0.48235294 0.46666667 0.48235294 0.49411765 0.4745098 0.4745098 0.45882353 0.4509804 0.43137255 0.42352942 0.4392157 0.46666667 0.4862745 0.5019608 0.47843137 0.47058824 0.49411765 0.53333336 0.5764706 0.5176471 0.52156866 0.5176471 0.54901963 0.5137255 0.49803922 0.47058824 0.5294118 0.5137255 0.54901963 0.5058824 0.5372549 0.39215687 0.36862746 0.41960785 0.5019608 0.62352943 0.76862746 0.9137255 0.99607843] Instance: 10 ============ [0. 0. 0. 0.00784314 0.01960784 0.02745098 0.04313726 0.04705882 0.0627451 0.08235294 0.09411765 0.12156863 0.14117648 0.16078432 0.15686275 0.14901961 0.16470589 0.2 0.2 0.21568628 0.32156864 0.34901962 0.42352942 0.43529412 0.44313726 0.4392157 0.44705883 0.4745098 0.48235294 0.47058824 0.47058824 0.45882353 0.48235294 0.4627451 0.44705883 0.43529412 0.43137255 0.3372549 0.32156864 0.29803923 0.27058825 0.30980393 0.2901961 0.27450982 0.2509804 0.2509804 0.27058825 0.25882354 0.27450982 0.24705882 0.26666668 0.28627452 0.3019608 0.25490198 0.23529412 0.23137255 0.25882354 0.24313726 0.27058825 0.2509804 0.23137255 0.21568628 0.18039216 0.14117648 0.16862746 0.2627451 0.29411766 0.31764707 0.32156864 0.30588236 0.2627451 0.28627452 0.3019608 0.30588236 0.32941177 0.30980393 0.34509805 0.40392157 0.3764706 0.39215687 0.42745098 0.40784314 0.46666667 0.53333336 0.54901963 0.5882353 0.6666667 0.70980394 0.7294118 0.7254902 0.7411765 0.73333335 0.74509805 0.74509805 0.7490196 0.75686276 0.76862746 0.77254903 0.7764706 0.77254903 0.77254903 0.7647059 0.76862746 0.7529412 0.7607843 0.7411765 0.74509805 0.74509805 0.7607843 0.75686276 0.7607843 0.7607843 0.76862746 0.78431374 0.78431374 0.76862746 0.7647059 0.7647059 0.7607843 0.7607843 0.77254903 0.7647059 0.7764706 0.76862746 0.77254903 0.78039217 0.77254903 0.7764706 0.7607843 0.7490196 0.7372549 0.7294118 0.7254902 0.7372549 0.72156864 0.7176471 0.69803923 0.67058825 0.6431373 0.63529414 0.61960787 0.6117647 0.6 0.5686275 0.54901963 0.49019608 0.41960785 0.32156864 0.28627452 0.28627452 0.2627451 0.23921569 0.23921569 0.24313726 0.29411766 0.3372549 0.3137255 0.2784314 0.1882353 0.11372549 0.13725491 0.14901961 0.21176471 0.25490198 0.27450982 0.33333334 0.29411766 0.24313726 0.25882354 0.25882354 0.23921569 0.25882354 0.2627451 0.25490198 0.24313726 0.3254902 0.3529412 0.36862746 0.36862746 0.3647059 0.37254903 0.36078432 0.36078432 0.36862746 0.38039216 0.36078432 0.3529412 0.34901962 0.39215687 0.48235294 0.50980395 0.44313726 0.4627451 0.45490196 0.4627451 0.41568628 0.41960785 0.42352942 0.4 0.41568628 0.4 0.40784314 0.45490196 0.40784314 0.4 0.42352942 0.36078432 0.23529412 0.1882353 0.18039216 0.1882353 0.1764706 0.972549 0.01568628 0.14117648 0.11372549 0.7019608 0.25882354 0.10588235 0.99215686 0.03921569 0.96862745 0.35686275 0.02745098] Instance: 11 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00784314 0.99607843 0.37254903 0. 0.00392157 0.04313726 0.9647059 0.10980392 0.03137255 0.04313726 0.0627451 0.10196079 0.14117648 0.16078432 0.1764706 0.19607843 0.21960784 0.23529412 0.23921569 0.23137255 0.2784314 0.3019608 0.3254902 0.32156864 0.32941177 0.34509805 0.34509805 0.3529412 0.3764706 0.3764706 0.35686275 0.3647059 0.3764706 0.3529412 0.35686275 0.3372549 0.28627452 0.28235295 0.29411766 0.3019608 0.33333334 0.3764706 0.36862746 0.36862746 0.39607844 0.39215687 0.42745098 0.4509804 0.4509804 0.5058824 0.4862745 0.49803922 0.54509807 0.56078434 0.6 0.5882353 0.56078434 0.5882353 0.6117647 0.6431373 0.627451 0.6509804 0.65882355 0.64705884 0.6313726 0.60784316 0.654902 0.7529412 0.77254903 0.7607843 0.7019608 0.63529414 0.6039216 0.57254905 0.5882353 0.58431375 0.5882353 0.5803922 0.5647059 0.56078434 0.5686275 0.57254905 0.5882353 0.627451 0.60784316 0.6392157 0.7294118 0.7529412 0.7921569 0.7921569 0.7882353 0.78039217 0.7411765 0.7176471 0.70980394 0.70980394 0.72156864 0.7254902 0.74509805 0.74509805 0.75686276 0.7647059 0.75686276 0.7647059 0.77254903 0.77254903 0.7764706 0.77254903 0.76862746 0.78039217 0.79607844 0.8039216 0.79607844 0.79607844 0.8039216 0.8 0.7921569 0.78039217 0.76862746 0.76862746 0.7647059 0.7647059 0.7607843 0.74509805 0.74509805 0.73333335 0.73333335 0.72156864 0.7372549 0.7254902 0.7294118 0.7254902 0.69411767 0.7058824 0.70980394 0.72156864 0.72156864 0.72156864 0.70980394 0.7254902 0.7372549 0.70980394 0.7137255 0.7137255 0.68235296 0.67058825 0.654902 0.6039216 0.47843137 0.4509804 0.44313726 0.40784314 0.40784314 0.36862746 0.3647059 0.3529412 0.36862746 0.3882353 0.39607844 0.38039216 0.38039216 0.4745098 0.45490196 0.44705883 0.4117647 0.4745098 0.46666667 0.44313726 0.43137255 0.41568628 0.4117647 0.35686275 0.36078432 0.22745098 0.17254902 0.1882353 0.1764706 0.2 0.16862746 0.14509805 0.16862746 0.18039216 0.18431373 0.18039216 0.14509805 0.11764706 0.10196079 0.11764706 0.08235294 0.06666667 0.05098039 0.03921569 0.03529412 0.02745098 0.01960784 0.00784314 0.00784314 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 12 ============ [0.6117647 0.6392157 0.65882355 0.69411767 0.69803923 0.7137255 0.7372549 0.73333335 0.7294118 0.73333335 0.75686276 0.7372549 0.75686276 0.7490196 0.7647059 0.7490196 0.7294118 0.7137255 0.7254902 0.67058825 0.6431373 0.6 0.62352943 0.6117647 0.6117647 0.62352943 0.5372549 0.52156866 0.53333336 0.5411765 0.56078434 0.5647059 0.5647059 0.5686275 0.5686275 0.627451 0.61960787 0.627451 0.64705884 0.6313726 0.64705884 0.73333335 0.7411765 0.76862746 0.74509805 0.75686276 0.75686276 0.74509805 0.73333335 0.70980394 0.64705884 0.6117647 0.6039216 0.6313726 0.69803923 0.73333335 0.7607843 0.7921569 0.80784315 0.80784315 0.83137256 0.8235294 0.8117647 0.8117647 0.8117647 0.81960785 0.80784315 0.83137256 0.83137256 0.83137256 0.83137256 0.8235294 0.78039217 0.74509805 0.7294118 0.7372549 0.7294118 0.68235296 0.64705884 0.6431373 0.6313726 0.63529414 0.6313726 0.6392157 0.6392157 0.6313726 0.654902 0.63529414 0.65882355 0.65882355 0.6901961 0.6862745 0.7254902 0.72156864 0.76862746 0.81960785 0.80784315 0.79607844 0.80784315 0.8 0.80784315 0.7921569 0.8039216 0.8 0.77254903 0.7294118 0.7254902 0.7372549 0.7490196 0.74509805 0.75686276 0.7647059 0.78039217 0.79607844 0.8 0.7921569 0.7882353 0.80784315 0.8117647 0.827451 0.8156863 0.8352941 0.8352941 0.7607843 0.7294118 0.7137255 0.68235296 0.6666667 0.6509804 0.64705884 0.6392157 0.63529414 0.6431373 0.654902 0.6313726 0.62352943 0.63529414 0.654902 0.6627451 0.6509804 0.7019608 0.75686276 0.7647059 0.7647059 0.7490196 0.7372549 0.7294118 0.7176471 0.7254902 0.67058825 0.72156864 0.7647059 0.7921569 0.8039216 0.8 0.7882353 0.77254903 0.7411765 0.654902 0.6039216 0.5882353 0.57254905 0.57254905 0.56078434 0.54901963 0.5647059 0.5686275 0.5568628 0.5647059 0.54509807 0.54901963 0.5411765 0.5372549 0.5294118 0.5372549 0.5058824 0.50980395 0.52156866 0.5254902 0.5372549 0.5686275 0.6313726 0.6666667 0.65882355 0.6039216 0.57254905 0.57254905 0.52156866 0.50980395 0.5137255 0.5254902 0.5058824 0.49803922 0.5058824 0.5137255 0.5647059 0.61960787 0.63529414 0.6392157 0.63529414 0.6392157 0.6509804 0.6745098 0.6666667 0.7058824 0.7254902 0.7490196 0.7647059 0.7372549 0.7490196 0.73333335 0.73333335 0.7607843 0.7411765 0.7647059 0.9764706 0.6745098 0.7058824 0.46666667 0.00784314 0.9607843 0.62352943 0.9647059 0.47843137] Instance: 13 ============ [0.00392157 0.01176471 0.01176471 0.01568628 0.02745098 0.03921569 0.04705882 0.07058824 0.09803922 0.10588235 0.15294118 0.16078432 0.18431373 0.21176471 0.21960784 0.24705882 0.3019608 0.30980393 0.30588236 0.3254902 0.35686275 0.3882353 0.4 0.40784314 0.4745098 0.6156863 0.6156863 0.6039216 0.6392157 0.6509804 0.6509804 0.65882355 0.6313726 0.6392157 0.63529414 0.6156863 0.60784316 0.56078434 0.4862745 0.47843137 0.48235294 0.49411765 0.5019608 0.49019608 0.54509807 0.54509807 0.5647059 0.5568628 0.5647059 0.5647059 0.5764706 0.5686275 0.58431375 0.5686275 0.5647059 0.60784316 0.6431373 0.65882355 0.6509804 0.6431373 0.6509804 0.6784314 0.58431375 0.5568628 0.5372549 0.4862745 0.49803922 0.5176471 0.49803922 0.5372549 0.5647059 0.5529412 0.50980395 0.45882353 0.5176471 0.54901963 0.6 0.6 0.627451 0.6156863 0.62352943 0.61960787 0.627451 0.6392157 0.6392157 0.6431373 0.6627451 0.6862745 0.72156864 0.7411765 0.75686276 0.79607844 0.8352941 0.84313726 0.85490197 0.85490197 0.8509804 0.8392157 0.8352941 0.8392157 0.84705883 0.84705883 0.8352941 0.8509804 0.85490197 0.85490197 0.84705883 0.8509804 0.8509804 0.8509804 0.83137256 0.8352941 0.83137256 0.83137256 0.84313726 0.84705883 0.84705883 0.84313726 0.8352941 0.8352941 0.827451 0.8117647 0.8 0.8156863 0.8235294 0.8352941 0.84313726 0.81960785 0.8117647 0.79607844 0.7764706 0.7647059 0.7607843 0.73333335 0.6901961 0.6627451 0.654902 0.6627451 0.64705884 0.65882355 0.64705884 0.6431373 0.6313726 0.627451 0.6392157 0.6313726 0.61960787 0.59607846 0.54901963 0.47058824 0.45882353 0.5137255 0.53333336 0.5294118 0.50980395 0.49411765 0.49411765 0.47843137 0.50980395 0.5137255 0.62352943 0.6627451 0.6392157 0.61960787 0.6392157 0.63529414 0.627451 0.65882355 0.53333336 0.5529412 0.5411765 0.5529412 0.5529412 0.5372549 0.5372549 0.54509807 0.53333336 0.5411765 0.5411765 0.5176471 0.49019608 0.47843137 0.49019608 0.45490196 0.46666667 0.4392157 0.45882353 0.54509807 0.56078434 0.5882353 0.6039216 0.6313726 0.6156863 0.627451 0.6313726 0.6117647 0.61960787 0.58431375 0.5803922 0.58431375 0.5372549 0.34117648 0.3137255 0.28235295 0.25882354 0.24705882 0.2627451 0.23529412 0.21176471 0.21176471 0.1882353 0.44313726 0.78431374 0.14509805 0.92156863 0.1254902 0.07450981 0.60784316 0.79607844 0.96862745 0.05882353 0.98039216 0.13725491 0.01568628] Instance: 14 ============ [0.07843138 0.09411765 0.10980392 0.13333334 0.12941177 0.13333334 0.14901961 0.16078432 0.16862746 0.20392157 0.21176471 0.21568628 0.22745098 0.22352941 0.24705882 0.23137255 0.23529412 0.25490198 0.26666668 0.25490198 0.25882354 0.27058825 0.2509804 0.25490198 0.27058825 0.27058825 0.27058825 0.27450982 0.28235295 0.27450982 0.26666668 0.2784314 0.2627451 0.27450982 0.27450982 0.2627451 0.27450982 0.2784314 0.2901961 0.26666668 0.24313726 0.27450982 0.27058825 0.26666668 0.2627451 0.2627451 0.27450982 0.28627452 0.29411766 0.29411766 0.2784314 0.29411766 0.29411766 0.29411766 0.3019608 0.29411766 0.2901961 0.28627452 0.29803923 0.2901961 0.28235295 0.2901961 0.27450982 0.26666668 0.36078432 0.50980395 0.5529412 0.5921569 0.6117647 0.627451 0.654902 0.6509804 0.6627451 0.6745098 0.6784314 0.6784314 0.6627451 0.6901961 0.6901961 0.70980394 0.69803923 0.70980394 0.69803923 0.70980394 0.7137255 0.7058824 0.7019608 0.70980394 0.69803923 0.7019608 0.7019608 0.6862745 0.75686276 0.7647059 0.7529412 0.7411765 0.7372549 0.7529412 0.73333335 0.74509805 0.7294118 0.7411765 0.7372549 0.7372549 0.7490196 0.7294118 0.7372549 0.7294118 0.7607843 0.7372549 0.74509805 0.74509805 0.7254902 0.7529412 0.75686276 0.7529412 0.7411765 0.7137255 0.7411765 0.7490196 0.7294118 0.72156864 0.7411765 0.7294118 0.74509805 0.7490196 0.7411765 0.7411765 0.72156864 0.7411765 0.73333335 0.73333335 0.7294118 0.72156864 0.7254902 0.7294118 0.7529412 0.78039217 0.77254903 0.78039217 0.79607844 0.77254903 0.77254903 0.7647059 0.7529412 0.7411765 0.73333335 0.7254902 0.74509805 0.75686276 0.74509805 0.6862745 0.6901961 0.6784314 0.6901961 0.6901961 0.69411767 0.69803923 0.69411767 0.68235296 0.6901961 0.69411767 0.68235296 0.6901961 0.6784314 0.6901961 0.6862745 0.67058825 0.6666667 0.65882355 0.6392157 0.6509804 0.627451 0.62352943 0.60784316 0.5686275 0.57254905 0.5294118 0.47843137 0.46666667 0.40784314 0.3882353 0.3019608 0.09803922 0.1254902 0.13725491 0.14117648 0.15294118 0.14509805 0.15294118 0.14509805 0.1254902 0.11372549 0.13725491 0.14509805 0.14901961 0.14509805 0.14117648 0.15686275 0.14901961 0.13333334 0.12941177 0.13333334 0.1254902 0.12941177 0.13333334 0.1254902 0.12156863 0.11372549 0.10196079 0.06666667 0.00392157 0.00784314 0.01568628 0.02352941 0.03137255 0.03137255 0.04313726 0.05098039 0.05490196 0.0627451 0.06666667 0.07450981 0.09019608] Instance: 15 ============ [0.02745098 0.04705882 0.0627451 0.07058824 0.09019608 0.09803922 0.11764706 0.11372549 0.13333334 0.13725491 0.16470589 0.17254902 0.19215687 0.20784314 0.22352941 0.25490198 0.23529412 0.28235295 0.4627451 0.5294118 0.4392157 0.43137255 0.40784314 0.39607844 0.42745098 0.43137255 0.5176471 0.6 0.40784314 0.33333334 0.34901962 0.3372549 0.3137255 0.32941177 0.31764707 0.28235295 0.3019608 0.29803923 0.30588236 0.30980393 0.3137255 0.31764707 0.3137255 0.29803923 0.28235295 0.2627451 0.27450982 0.24313726 0.20784314 0.19215687 0.16470589 0.15294118 0.12156863 0.11372549 0.10588235 0.08627451 0.06666667 0.05882353 0.04313726 0.00784314 0. 0. 0. 0. 0. 0. 0.00392157 0.03921569 0.04705882 0.08627451 0.13333334 0.16078432 0.2 0.20784314 0.23529412 0.3137255 0.34509805 0.3764706 0.43137255 0.45882353 0.47843137 0.48235294 0.50980395 0.53333336 0.5882353 0.69411767 0.7411765 0.7372549 0.74509805 0.74509805 0.7490196 0.76862746 0.75686276 0.7647059 0.77254903 0.77254903 0.7764706 0.7764706 0.7764706 0.7921569 0.7882353 0.7882353 0.8 0.8156863 0.8156863 0.8156863 0.81960785 0.81960785 0.8156863 0.8 0.7882353 0.7921569 0.77254903 0.78431374 0.78039217 0.7921569 0.77254903 0.7607843 0.76862746 0.78431374 0.79607844 0.7882353 0.78431374 0.7647059 0.73333335 0.7058824 0.6627451 0.6117647 0.59607846 0.6 0.5921569 0.5764706 0.58431375 0.57254905 0.5529412 0.5294118 0.5137255 0.5254902 0.5058824 0.49019608 0.47843137 0.37254903 0.36862746 0.31764707 0.32156864 0.3372549 0.34509805 0.34901962 0.36078432 0.27058825 0.2784314 0.23921569 0.24313726 0.22352941 0.23529412 0.23529412 0.24705882 0.28235295 0.29803923 0.36078432 0.41568628 0.45490196 0.4117647 0.43137255 0.44705883 0.44313726 0.4627451 0.4509804 0.44705883 0.43137255 0.44705883 0.46666667 0.46666667 0.45490196 0.4509804 0.45882353 0.4509804 0.48235294 0.49411765 0.4509804 0.47058824 0.44705883 0.4392157 0.53333336 0.52156866 0.5372549 0.52156866 0.5294118 0.49803922 0.47843137 0.49803922 0.49019608 0.47843137 0.50980395 0.5019608 0.5647059 0.34509805 0.28235295 0.30588236 0.27450982 0.27450982 0.26666668 0.2509804 0.24705882 0.20392157 0.1882353 0.1764706 0.14901961 0.13725491 0.12156863 0.10980392 0.09803922 0.07843138 0.05490196 0.03921569 0.93333334 0.07450981 0.01568628 0.01568628 0.05882353 0.9529412 0.02352941 0.972549 0.02745098] Instance: 16 ============ [0.6784314 0.67058825 0.654902 0.6156863 0.5921569 0.5568628 0.5764706 0.47058824 0.49411765 0.5019608 0.5137255 0.53333336 0.5372549 0.5372549 0.5411765 0.54509807 0.5372549 0.53333336 0.5254902 0.5529412 0.5411765 0.5254902 0.5137255 0.49411765 0.49019608 0.4862745 0.46666667 0.47058824 0.45882353 0.4509804 0.42745098 0.40784314 0.39215687 0.39607844 0.3764706 0.37254903 0.39215687 0.3764706 0.38431373 0.4509804 0.47058824 0.4745098 0.45490196 0.45882353 0.44705883 0.4 0.40392157 0.39607844 0.39607844 0.42352942 0.4117647 0.4117647 0.42352942 0.43137255 0.43529412 0.43529412 0.42745098 0.4392157 0.43529412 0.4 0.41568628 0.4392157 0.43529412 0.42352942 0.44313726 0.4627451 0.50980395 0.5411765 0.56078434 0.5803922 0.58431375 0.6 0.6117647 0.627451 0.61960787 0.6431373 0.61960787 0.5411765 0.5176471 0.5254902 0.56078434 0.57254905 0.59607846 0.60784316 0.60784316 0.6156863 0.62352943 0.6313726 0.6392157 0.6431373 0.6509804 0.69411767 0.7058824 0.70980394 0.7294118 0.7372549 0.7372549 0.76862746 0.77254903 0.78039217 0.76862746 0.7490196 0.7411765 0.7411765 0.7372549 0.7529412 0.74509805 0.7176471 0.7294118 0.7372549 0.7529412 0.7647059 0.78039217 0.7764706 0.78039217 0.7764706 0.76862746 0.7764706 0.7647059 0.7607843 0.7529412 0.75686276 0.75686276 0.75686276 0.7607843 0.77254903 0.7647059 0.7647059 0.7607843 0.7647059 0.78431374 0.8156863 0.80784315 0.8117647 0.80784315 0.8 0.79607844 0.78431374 0.7764706 0.7764706 0.77254903 0.78431374 0.7921569 0.78431374 0.7882353 0.7921569 0.78039217 0.7764706 0.78431374 0.80784315 0.80784315 0.80784315 0.8039216 0.7764706 0.7647059 0.75686276 0.7607843 0.7607843 0.7529412 0.7490196 0.74509805 0.74509805 0.7411765 0.7411765 0.73333335 0.72156864 0.72156864 0.7254902 0.72156864 0.7176471 0.7058824 0.7019608 0.6901961 0.67058825 0.6509804 0.6392157 0.63529414 0.62352943 0.61960787 0.6156863 0.67058825 0.7019608 0.6745098 0.6784314 0.72156864 0.7647059 0.78431374 0.7372549 0.7254902 0.7372549 0.77254903 0.80784315 0.8117647 0.8 0.7882353 0.7921569 0.8 0.7882353 0.7764706 0.7882353 0.7882353 0.78431374 0.7607843 0.7254902 0.7137255 0.7058824 0.69803923 0.69411767 0.6862745 0.7019608 0.6862745 0.67058825 0.65882355 0.6431373 0.6156863 0.6039216 0.54901963 0.5176471 0.5137255 0.5176471 0.5137255 0.5176471 0.5176471 0.5372549 ] Instance: 17 ============ [0.23137255 0.28627452 0.2901961 0.30980393 0.31764707 0.3372549 0.34901962 0.3529412 0.34509805 0.3529412 0.3647059 0.38431373 0.3882353 0.42745098 0.5921569 0.62352943 0.6039216 0.6117647 0.5764706 0.57254905 0.5803922 0.5647059 0.59607846 0.5882353 0.60784316 0.6117647 0.6117647 0.61960787 0.63529414 0.63529414 0.62352943 0.5921569 0.5019608 0.47843137 0.5058824 0.5058824 0.49411765 0.5058824 0.5294118 0.5372549 0.53333336 0.52156866 0.50980395 0.5137255 0.5137255 0.5137255 0.5137255 0.5137255 0.47843137 0.47058824 0.49803922 0.48235294 0.4862745 0.44313726 0.44313726 0.43137255 0.39215687 0.36862746 0.3647059 0.36078432 0.3254902 0.2901961 0.29803923 0.34509805 0.3647059 0.39607844 0.3529412 0.29803923 0.38039216 0.4117647 0.4627451 0.47058824 0.44705883 0.43529412 0.4392157 0.47058824 0.5058824 0.5176471 0.56078434 0.5647059 0.5803922 0.5803922 0.5803922 0.5764706 0.5803922 0.5764706 0.5882353 0.57254905 0.5686275 0.5882353 0.5882353 0.58431375 0.6 0.63529414 0.6666667 0.7019608 0.7176471 0.7137255 0.7137255 0.7411765 0.7607843 0.7607843 0.77254903 0.7882353 0.77254903 0.7764706 0.76862746 0.78431374 0.7647059 0.75686276 0.7411765 0.7372549 0.7647059 0.74509805 0.74509805 0.75686276 0.7490196 0.7607843 0.77254903 0.77254903 0.7607843 0.7764706 0.77254903 0.7764706 0.78431374 0.78039217 0.77254903 0.7529412 0.7607843 0.75686276 0.7176471 0.69803923 0.65882355 0.627451 0.64705884 0.61960787 0.5921569 0.59607846 0.59607846 0.6039216 0.59607846 0.59607846 0.59607846 0.5882353 0.5882353 0.58431375 0.5686275 0.5764706 0.54901963 0.53333336 0.5137255 0.4745098 0.4627451 0.4745098 0.48235294 0.49803922 0.49411765 0.4745098 0.49019608 0.45882353 0.4627451 0.47058824 0.39607844 0.4117647 0.4392157 0.42745098 0.40784314 0.49019608 0.49411765 0.5372549 0.5686275 0.5529412 0.54901963 0.56078434 0.54901963 0.5529412 0.5529412 0.5529412 0.54901963 0.5686275 0.56078434 0.56078434 0.5764706 0.5647059 0.57254905 0.5764706 0.56078434 0.5647059 0.56078434 0.5568628 0.54901963 0.6313726 0.67058825 0.6666667 0.65882355 0.6392157 0.6431373 0.6509804 0.6313726 0.64705884 0.6313726 0.6784314 0.6313726 0.6392157 0.627451 0.63529414 0.6392157 0.63529414 0.63529414 0.67058825 0.46666667 0.45490196 0.42745098 0.40784314 0.95686275 0.3764706 0.91764706 0.7607843 0.4627451 0.5686275 0.94509804 0.52156866 0.94509804 0.32941177] Instance: 18 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01176471 0.02352941 0.04705882 0.08235294 0.10588235 0.17254902 0.20784314 0.24313726 0.28235295 0.31764707 0.3254902 0.36078432 0.39215687 0.39607844 0.42745098 0.45490196 0.47843137 0.4627451 0.49803922 0.49803922 0.49803922 0.5529412 0.54509807 0.54509807 0.5529412 0.5764706 0.6 0.5764706 0.53333336 0.5294118 0.5529412 0.57254905 0.5764706 0.5686275 0.5568628 0.5764706 0.5921569 0.5882353 0.5882353 0.5921569 0.5882353 0.5921569 0.59607846 0.58431375 0.5882353 0.5882353 0.59607846 0.6039216 0.6313726 0.6392157 0.64705884 0.6431373 0.6431373 0.65882355 0.6745098 0.69411767 0.74509805 0.8117647 0.827451 0.8392157 0.8352941 0.8352941 0.827451 0.7529412 0.7058824 0.72156864 0.73333335 0.7411765 0.74509805 0.75686276 0.7607843 0.7529412 0.7647059 0.75686276 0.76862746 0.78431374 0.7882353 0.78431374 0.8039216 0.80784315 0.79607844 0.8117647 0.8235294 0.84705883 0.84705883 0.83137256 0.8352941 0.8509804 0.84705883 0.8352941 0.8509804 0.8392157 0.83137256 0.827451 0.83137256 0.827451 0.8352941 0.83137256 0.827451 0.8352941 0.8235294 0.80784315 0.8039216 0.8117647 0.8039216 0.8117647 0.8117647 0.80784315 0.8 0.79607844 0.79607844 0.78431374 0.77254903 0.76862746 0.76862746 0.7647059 0.7529412 0.7529412 0.7294118 0.73333335 0.73333335 0.7176471 0.72156864 0.78431374 0.8352941 0.85882354 0.83137256 0.80784315 0.8509804 0.8352941 0.74509805 0.6862745 0.5529412 0.5372549 0.5294118 0.54901963 0.58431375 0.5882353 0.5764706 0.5921569 0.58431375 0.5803922 0.59607846 0.57254905 0.5686275 0.5686275 0.58431375 0.6 0.61960787 0.6313726 0.627451 0.62352943 0.63529414 0.63529414 0.62352943 0.6156863 0.59607846 0.58431375 0.57254905 0.56078434 0.54509807 0.53333336 0.52156866 0.5019608 0.4862745 0.47058824 0.4509804 0.4627451 0.43137255 0.37254903 0.3647059 0.34901962 0.36078432 0.32941177 0.32941177 0.29803923 0.27450982 0.24705882 0.20392157 0.2 0.17254902 0.11764706 0.10196079 0.08235294 0.05882353 0.03921569 0.01960784 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00784314 0.69803923 0.00784314 0.00784314 0.22745098 0.61960787 0.98039216 0.37254903 0.77254903 0.37254903 0.02352941] Instance: 19 ============ [0.49803922 0.5058824 0.50980395 0.49803922 0.5019608 0.4862745 0.45490196 0.47058824 0.5019608 0.49411765 0.50980395 0.5058824 0.5058824 0.5372549 0.5803922 0.6 0.5921569 0.57254905 0.45882353 0.40784314 0.39607844 0.41568628 0.41960785 0.40784314 0.42745098 0.42745098 0.43137255 0.45490196 0.4627451 0.45882353 0.47843137 0.49019608 0.47843137 0.4745098 0.48235294 0.49411765 0.49803922 0.5176471 0.50980395 0.4862745 0.4862745 0.4862745 0.49411765 0.4745098 0.48235294 0.4862745 0.4392157 0.45490196 0.42745098 0.4117647 0.40784314 0.4 0.37254903 0.32941177 0.3254902 0.28235295 0.32156864 0.32156864 0.34117648 0.52156866 0.58431375 0.60784316 0.627451 0.6392157 0.65882355 0.6862745 0.6784314 0.6901961 0.68235296 0.7176471 0.7058824 0.7137255 0.72156864 0.73333335 0.7411765 0.7490196 0.75686276 0.7607843 0.7647059 0.77254903 0.76862746 0.7764706 0.7764706 0.77254903 0.77254903 0.7764706 0.77254903 0.8235294 0.83137256 0.8156863 0.8117647 0.8117647 0.8039216 0.80784315 0.8156863 0.827451 0.84313726 0.84705883 0.84705883 0.84705883 0.84313726 0.85490197 0.8627451 0.8509804 0.84313726 0.84705883 0.84313726 0.83137256 0.83137256 0.8352941 0.827451 0.8235294 0.83137256 0.80784315 0.8235294 0.827451 0.83137256 0.827451 0.827451 0.8392157 0.8352941 0.84313726 0.84313726 0.8352941 0.827451 0.8352941 0.8352941 0.8392157 0.8352941 0.83137256 0.827451 0.8156863 0.8117647 0.8117647 0.80784315 0.80784315 0.8039216 0.80784315 0.8235294 0.81960785 0.7607843 0.7647059 0.7764706 0.78431374 0.76862746 0.77254903 0.7490196 0.7529412 0.74509805 0.7411765 0.7372549 0.7372549 0.7176471 0.7254902 0.7176471 0.7058824 0.6901961 0.6784314 0.6901961 0.6784314 0.6901961 0.65882355 0.6392157 0.627451 0.6117647 0.6117647 0.61960787 0.6156863 0.5529412 0.41960785 0.44313726 0.4627451 0.47843137 0.49019608 0.5019608 0.5176471 0.5411765 0.52156866 0.54901963 0.54901963 0.54509807 0.5529412 0.5411765 0.54509807 0.5411765 0.5411765 0.5372549 0.5411765 0.5372549 0.49411765 0.5294118 0.52156866 0.5176471 0.47843137 0.49803922 0.4862745 0.4509804 0.45490196 0.45490196 0.42352942 0.42745098 0.40784314 0.4117647 0.40392157 0.40392157 0.4 0.5137255 0.54901963 0.56078434 0.58431375 0.53333336 0.47843137 0.48235294 0.45882353 0.44313726 0.44705883 0.44705883 0.41568628 0.41568628 0.42745098 0.43137255 0.4509804 0.4392157 0.44313726]
validation_data_array = np.asarray(grayscale_validation_data)
print("Grayscale X-ray Image of Validation Data")
print("=========================================")
print("Grayscale X-ray Image of Validation Data into Numpy Array Form")
print("==============================================================")
for i in range(len(validation_data)):
display(grayscale_validation_data[i][0],"Grayscale Image")
print("Instance: ",i)
print("============ \n")
print(validation_data_array[i][0])
i=i+1
Grayscale X-ray Image of Validation Data ========================================= Grayscale X-ray Image of Validation Data into Numpy Array Form ============================================================== Instance: 0 ============ [[ 8 14 24 ... 64 60 61] [11 14 32 ... 69 68 65] [11 11 33 ... 70 69 57] ... [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0] [ 0 0 0 ... 0 0 0]] Instance: 1 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [2 3 3 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 2 ============ [[ 77 1 89 ... 15 16 15] [ 1 2 1 ... 15 15 16] [152 1 1 ... 14 15 15] ... [ 34 38 33 ... 30 29 18] [ 51 33 36 ... 31 28 30] [ 67 33 32 ... 29 27 28]] Instance: 3 ============ [[149 4 183 ... 173 2 2] [ 0 1 0 ... 7 2 0] [112 0 70 ... 5 3 1] ... [ 0 0 0 ... 8 8 6] [ 2 0 0 ... 1 2 0] [ 3 0 0 ... 172 2 0]] Instance: 4 ============ [[ 0 0 0 ... 40 31 26] [ 0 0 0 ... 38 31 23] [ 0 0 0 ... 36 31 23] ... [ 1 1 1 ... 2 2 2] [ 1 1 1 ... 2 2 2] [ 1 1 1 ... 2 2 2]] Instance: 5 ============ [[0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] ... [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0] [0 0 0 ... 0 0 0]] Instance: 6 ============ [[ 0 0 0 ... 6 6 6] [ 0 0 0 ... 6 6 6] [ 0 0 0 ... 6 6 6] ... [ 3 8 4 ... 12 14 7] [ 1 7 4 ... 11 9 3] [ 6 2 4 ... 12 5 13]] Instance: 7 ============ [[65 67 67 ... 98 93 96] [61 60 59 ... 95 94 93] [55 55 55 ... 95 92 92] ... [14 37 45 ... 11 8 8] [19 40 51 ... 8 7 11] [25 41 52 ... 7 9 9]]
print("Validation Data in Numpy Array into Input Feature Vector and Output Labels")
print("==========================================================================")
input_validation_data,output_validation_label = split(validation_data_array)
print("Validation Data After Split")
print("===========================")
print("\nFeature Vector of Validation Data")
print("===================================")
print(input_validation_data)
print("\nOutput Labels of Validation Data")
print("==================================\n")
print (output_validation_label)
Validation Data in Numpy Array into Input Feature Vector and Output Labels
==========================================================================
Validation Data After Split
===========================
Feature Vector of Validation Data
===================================
[array([[ 8, 14, 24, ..., 64, 60, 61],
[11, 14, 32, ..., 69, 68, 65],
[11, 11, 33, ..., 70, 69, 57],
...,
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0],
[ 0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[2, 3, 3, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 77, 1, 89, ..., 15, 16, 15],
[ 1, 2, 1, ..., 15, 15, 16],
[152, 1, 1, ..., 14, 15, 15],
...,
[ 34, 38, 33, ..., 30, 29, 18],
[ 51, 33, 36, ..., 31, 28, 30],
[ 67, 33, 32, ..., 29, 27, 28]], dtype=uint8), array([[149, 4, 183, ..., 173, 2, 2],
[ 0, 1, 0, ..., 7, 2, 0],
[112, 0, 70, ..., 5, 3, 1],
...,
[ 0, 0, 0, ..., 8, 8, 6],
[ 2, 0, 0, ..., 1, 2, 0],
[ 3, 0, 0, ..., 172, 2, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 40, 31, 26],
[ 0, 0, 0, ..., 38, 31, 23],
[ 0, 0, 0, ..., 36, 31, 23],
...,
[ 1, 1, 1, ..., 2, 2, 2],
[ 1, 1, 1, ..., 2, 2, 2],
[ 1, 1, 1, ..., 2, 2, 2]], dtype=uint8), array([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], dtype=uint8), array([[ 0, 0, 0, ..., 6, 6, 6],
[ 0, 0, 0, ..., 6, 6, 6],
[ 0, 0, 0, ..., 6, 6, 6],
...,
[ 3, 8, 4, ..., 12, 14, 7],
[ 1, 7, 4, ..., 11, 9, 3],
[ 6, 2, 4, ..., 12, 5, 13]], dtype=uint8), array([[65, 67, 67, ..., 98, 93, 96],
[61, 60, 59, ..., 95, 94, 93],
[55, 55, 55, ..., 95, 92, 92],
...,
[14, 37, 45, ..., 11, 8, 8],
[19, 40, 51, ..., 8, 7, 11],
[25, 41, 52, ..., 7, 9, 9]], dtype=uint8)]
Output Labels of Validation Data
==================================
[0, 0, 0, 0, 1, 1, 1, 1]
print("Normalization of Feature Vecotrs of Validation Data")
print("===================================================\n")
normalized_validation_data = data_normalization(input_validation_data)
for i in range(len(validation_data)):
print("Instance: ",i)
print("============ \n")
print(normalized_validation_data[i][0])
i=i+1
Normalization of Feature Vecotrs of Validation Data =================================================== Instance: 0 ============ [0.03137255 0.05490196 0.09411765 0.13333334 0.1254902 0.10588235 0.14901961 0.14901961 0.15686275 0.16470589 0.15294118 0.14509805 0.14901961 0.15686275 0.14901961 0.15686275 0.14509805 0.16078432 0.12941177 0.10588235 0.07450981 0.05490196 0.04705882 0.03921569 0.02745098 0.01176471 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.03137255 0.08627451 0.14117648 0.16862746 0.23137255 0.28627452 0.31764707 0.32156864 0.3019608 0.34117648 0.38431373 0.45882353 0.4745098 0.47843137 0.49411765 0.5254902 0.5176471 0.54509807 0.5137255 0.5294118 0.5254902 0.49411765 0.50980395 0.4862745 0.49411765 0.5294118 0.5686275 0.6156863 0.60784316 0.6431373 0.6313726 0.6039216 0.6431373 0.6 0.5882353 0.5254902 0.4862745 0.39215687 0.3529412 0.31764707 0.2901961 0.2784314 0.27450982 0.3137255 0.30588236 0.33333334 0.36862746 0.38039216 0.37254903 0.36862746 0.3647059 0.36078432 0.36862746 0.4 0.4392157 0.41960785 0.44313726 0.4392157 0.47058824 0.4627451 0.49803922 0.48235294 0.5137255 0.47843137 0.48235294 0.43137255 0.41960785 0.39215687 0.32156864 0.27450982 0.33333334 0.30980393 0.2901961 0.34509805 0.33333334 0.32941177 0.30588236 0.29803923 0.29803923 0.28235295 0.23137255 0.21568628 0.20392157 0.14901961 0.13333334 0.09803922 0.12156863 0.06666667 0.09019608 0.05098039 0.03921569 0.03529412 0.04313726 0.02352941 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.01568628 0.04705882 0.02745098 0. 0.03137255 0.13725491 0.14509805 0.11764706 0.11764706 0.12941177 0.1254902 0.13333334 0.16862746 0.15686275 0.16078432 0.15686275 0.17254902 0.24705882 0.25882354 0.26666668 0.2509804 0.2627451 0.24313726 0.24313726 0.25882354 0.26666668 0.28235295 0.25490198 0.3019608 0.32941177 0.32941177 0.31764707 0.30980393 0.3137255 0.3372549 0.36078432 0.30980393 0.3254902 0.34117648 0.28235295 0.2784314 0.25882354 0.30588236 0.2627451 0.2509804 0.23529412 0.23921569] Instance: 1 ============ [0. 0. 0. 0. 0. 0. 0.00392157 0.01568628 0.00784314 0.01960784 0.03529412 0.03137255 0.05098039 0.04705882 0.07058824 0.08627451 0.06666667 0.07450981 0.09019608 0.09803922 0.07843138 0.09019608 0.10980392 0.08235294 0.08235294 0.09411765 0.09411765 0.10980392 0.1254902 0.23921569 0.31764707 0.3372549 0.36078432 0.37254903 0.3647059 0.38431373 0.43137255 0.43529412 0.48235294 0.4745098 0.47843137 0.4862745 0.4745098 0.48235294 0.48235294 0.47058824 0.49803922 0.4745098 0.44705883 0.49411765 0.47058824 0.4627451 0.63529414 0.8235294 0.7529412 0.8392157 0.80784315 0.76862746 0.7529412 0.73333335 0.74509805 0.79607844 0.8352941 0.7647059 0.69411767 0.5372549 0.57254905 0.64705884 0.627451 0.5647059 0.5921569 0.6392157 0.65882355 0.7058824 0.7019608 0.6862745 0.69803923 0.69803923 0.6784314 0.7019608 0.75686276 0.64705884 0.65882355 0.6862745 0.7019608 0.7372549 0.7294118 0.7058824 0.6627451 0.56078434 0.5686275 0.57254905 0.6 0.6 0.6039216 0.6117647 0.62352943 0.6 0.6313726 0.64705884 0.7019608 0.7372549 0.7372549 0.7294118 0.7411765 0.73333335 0.74509805 0.73333335 0.7254902 0.69803923 0.70980394 0.6784314 0.68235296 0.6666667 0.6666667 0.67058825 0.6666667 0.67058825 0.6862745 0.654902 0.6392157 0.6313726 0.627451 0.6117647 0.59607846 0.60784316 0.61960787 0.6156863 0.6 0.61960787 0.6156863 0.5921569 0.5803922 0.56078434 0.54901963 0.5568628 0.5254902 0.54509807 0.5568628 0.48235294 0.48235294 0.44705883 0.44313726 0.4509804 0.43529412 0.41568628 0.40784314 0.38039216 0.3647059 0.35686275 0.22352941 0.22352941 0.23921569 0.26666668 0.30980393 0.30980393 0.31764707 0.2901961 0.2627451 0.25490198 0.25882354 0.2509804 0.25490198 0.2627451 0.29411766 0.3019608 0.3019608 0.25490198 0.25882354 0.3137255 0.34117648 0.3647059 0.36078432 0.38431373 0.36078432 0.38431373 0.36078432 0.34117648 0.3529412 0.36078432 0.3529412 0.40784314 0.42352942 0.41960785 0.5647059 0.47843137 0.4745098 0.44313726 0.44705883 0.44705883 0.43529412 0.45882353 0.48235294 0.4745098 0.45882353 0.4745098 0.48235294 0.4745098 0.50980395 0.32941177 0.3254902 0.3254902 0.31764707 0.32941177 0.32941177 0.30588236 0.31764707 0.3019608 0.28627452 0.2627451 0.25882354 0.22352941 0.21568628 0.16862746 0.15686275 0.12941177 0.09803922 0.08627451 0.04705882 0.01960784 0. 0. 0. 0. ] Instance: 2 ============ [0.3019608 0.00392157 0.34901962 0.06666667 0.0627451 0.05882353 0.05490196 0.11372549 0.14901961 0.16078432 0.16470589 0.827451 0.19215687 0.21568628 0.22352941 0.23529412 0.23921569 0.23921569 0.24313726 0.2509804 0.27058825 0.25882354 0.28235295 0.27058825 0.2627451 0.25882354 0.26666668 0.25882354 0.25490198 0.26666668 0.2627451 0.25882354 0.52156866 0.44705883 0.4392157 0.42352942 0.40392157 0.41568628 0.42352942 0.44313726 0.49411765 0.5137255 0.42745098 0.29411766 0.3019608 0.11764706 0.27450982 0.27058825 0.2509804 0.2509804 0.25882354 0.24313726 0.23921569 0.22352941 0.3647059 0.44705883 0.64705884 0.5882353 0.59607846 0.627451 0.62352943 0.62352943 0.6313726 0.6392157 0.65882355 0.6666667 0.70980394 0.72156864 0.7294118 0.654902 0.6392157 0.65882355 0.70980394 0.8235294 0.827451 0.7529412 0.8 0.77254903 0.83137256 0.48235294 0.79607844 0.78431374 0.76862746 0.7882353 0.81960785 0.84313726 0.827451 0.8235294 0.83137256 0.827451 0.52156866 0.77254903 0.7372549 0.7137255 0.6901961 0.69411767 0.7137255 0.69803923 0.72156864 0.69411767 0.6627451 0.6666667 0.63529414 0.6666667 0.6666667 0.6666667 0.6509804 0.654902 0.65882355 0.65882355 0.6745098 0.6745098 0.6745098 0.68235296 0.6901961 0.6784314 0.6901961 0.69803923 0.7019608 0.69803923 0.8 0.7921569 0.8117647 0.79607844 0.32156864 0.83137256 0.8509804 0.84313726 0.8156863 0.8039216 0.78039217 0.79607844 0.7921569 0.7882353 0.7921569 0.9098039 0.76862746 0.8039216 0.7882353 0.7921569 0.8 0.80784315 0.83137256 0.8156863 0.7254902 0.7137255 0.72156864 0.72156864 0.69803923 0.6745098 0.6627451 0.64705884 0.6039216 0.5529412 0.5254902 0.5803922 0.6039216 0.5921569 0.49803922 0.5647059 0.5686275 0.21176471 0.09411765 0.14509805 0.14901961 0.16862746 0.19607843 0.2 0.20784314 0.84705883 0.23921569 0.23921569 0.25882354 0.26666668 0.2627451 0.27058825 0.28235295 0.29803923 0.29411766 0.29803923 0.3137255 0.3019608 0.3019608 0.47058824 0.6039216 0.47843137 0.43529412 0.5019608 0.47058824 0.45882353 0.49019608 0.54509807 0.4862745 0.30588236 0.29803923 0.28235295 0.28627452 0.2901961 0.2784314 0.29411766 0.28627452 0.29411766 0.2784314 0.02352941 0.2784314 0.28235295 0.27450982 0.25490198 0.24705882 0.24705882 0.23529412 0.22745098 0.20784314 0.1764706 0.15294118 0.15686275 0.14901961 0.09411765 0.03921569 0.04705882 0.05098039 0.05882353 0.0627451 0.05882353] Instance: 3 ============ [0.58431375 0.01568628 0.7176471 0.2509804 0.21960784 0.2509804 0.27058825 0.2784314 0.5058824 0.5686275 0.5058824 0.4627451 0.4117647 0.42745098 0.41568628 0.45490196 0.4392157 0.42352942 0.44313726 0.47058824 0.45882353 0.49019608 0.4745098 0.44705883 0.4 0.44705883 0.49411765 0.41568628 0.34509805 0.36862746 0.35686275 0.42352942 0.43529412 0.4509804 0.4627451 0.45490196 0.5764706 0.654902 0.65882355 0.6901961 0.69803923 0.7019608 0.36078432 0.7411765 0.75686276 0.7647059 0.76862746 0.77254903 0.7529412 0.7607843 0.7529412 0.73333335 0.7529412 0.7529412 0.78039217 0.78431374 0.78431374 0.7882353 0.7764706 0.76862746 0.7647059 0.75686276 0.7647059 0.05882353 0.81960785 0.80784315 0.8117647 0.80784315 0.80784315 0.8 0.8 0.8039216 0.83137256 0.8666667 0.85882354 0.85882354 0.85882354 0.85490197 0.84705883 0.87058824 0.8784314 0.8666667 0.8784314 0.8666667 0.53333336 0.8392157 0.85882354 0.8666667 0.85882354 0.8392157 0.8352941 0.8627451 0.8666667 0.85882354 0.8392157 0.8745098 0.84705883 0.8666667 0.85490197 0.85882354 0.8666667 0.8352941 0.81960785 0.8509804 0.84705883 0.99607843 0.8627451 0.85490197 0.8352941 0.8745098 0.8745098 0.8745098 0.87058824 0.88235295 0.88235295 0.8901961 0.8901961 0.8745098 0.8745098 0.8509804 0.8627451 0.85490197 0.84313726 0.827451 0.8392157 0.8235294 0.9137255 0.83137256 0.8392157 0.827451 0.8117647 0.7921569 0.74509805 0.75686276 0.75686276 0.73333335 0.73333335 0.5137255 0.7372549 0.72156864 0.70980394 0.654902 0.6313726 0.6509804 0.6745098 0.75686276 0.7607843 0.7058824 0.7176471 0.7254902 0.7254902 0.70980394 0.70980394 0.68235296 0.64705884 0.5254902 0.5019608 0.5372549 0.09803922 0.54509807 0.5647059 0.57254905 0.58431375 0.5803922 0.59607846 0.6117647 0.5882353 0.6 0.5882353 0.5686275 0.5529412 0.5294118 0.52156866 0.5137255 0.56078434 0.56078434 0.62352943 0.6431373 0.6117647 0.32941177 0.58431375 0.6117647 0.61960787 0.5764706 0.54901963 0.5294118 0.5411765 0.5294118 0.5372549 0.5529412 0.5411765 0.5568628 0.56078434 0.5529412 0.35686275 0.36862746 0.3647059 0.39215687 0.38431373 0.34509805 0.8117647 0.3137255 0.30588236 0.2901961 0.32941177 0.32156864 0.30980393 0.26666668 0.22352941 0.21568628 0.19215687 0.19607843 0.16470589 0.15686275 0.13725491 0.10588235 0.09019608 0.07058824 0.05490196 0.04313726 0.03529412 0.6784314 0.00784314 0.00784314] Instance: 4 ============ [0. 0. 0. 0.02352941 0.03921569 0.0627451 0.09019608 0.10980392 0.16078432 0.20392157 0.26666668 0.28627452 0.32156864 0.3529412 0.3764706 0.39215687 0.40784314 0.43137255 0.42352942 0.44705883 0.44705883 0.4509804 0.5137255 0.5254902 0.5254902 0.5568628 0.54901963 0.5529412 0.5529412 0.5686275 0.59607846 0.6 0.6156863 0.61960787 0.62352943 0.6313726 0.6 0.6 0.60784316 0.58431375 0.5058824 0.50980395 0.52156866 0.50980395 0.5137255 0.5019608 0.5137255 0.50980395 0.5294118 0.5921569 0.6117647 0.5921569 0.6156863 0.60784316 0.59607846 0.6627451 0.64705884 0.53333336 0.50980395 0.54509807 0.5529412 0.5529412 0.5372549 0.5294118 0.53333336 0.5058824 0.49803922 0.5137255 0.52156866 0.5176471 0.52156866 0.5294118 0.5137255 0.5254902 0.52156866 0.5372549 0.5411765 0.54509807 0.5921569 0.6 0.6 0.6039216 0.60784316 0.63529414 0.63529414 0.6392157 0.6392157 0.63529414 0.6392157 0.6313726 0.6784314 0.6627451 0.6901961 0.6862745 0.7019608 0.72156864 0.7058824 0.73333335 0.7372549 0.7490196 0.75686276 0.7607843 0.78039217 0.78039217 0.7647059 0.76862746 0.7764706 0.78431374 0.78039217 0.77254903 0.7607843 0.7647059 0.7294118 0.7254902 0.7294118 0.74509805 0.70980394 0.7019608 0.69803923 0.7019608 0.7058824 0.7372549 0.7529412 0.7372549 0.7254902 0.7529412 0.7529412 0.7490196 0.78039217 0.78039217 0.77254903 0.7372549 0.72156864 0.7294118 0.7176471 0.7137255 0.69411767 0.68235296 0.6901961 0.68235296 0.6862745 0.69803923 0.69411767 0.68235296 0.6784314 0.68235296 0.68235296 0.6862745 0.68235296 0.6509804 0.6313726 0.6313726 0.6117647 0.5882353 0.5686275 0.5647059 0.5529412 0.5294118 0.5372549 0.5019608 0.4862745 0.4745098 0.47058824 0.45882353 0.4392157 0.42745098 0.47058824 0.43137255 0.45490196 0.46666667 0.47058824 0.45882353 0.45882353 0.47058824 0.49019608 0.5176471 0.57254905 0.58431375 0.5647059 0.5137255 0.5137255 0.5254902 0.5254902 0.5137255 0.52156866 0.5137255 0.5058824 0.5019608 0.4862745 0.4862745 0.47843137 0.49019608 0.50980395 0.5529412 0.58431375 0.5686275 0.5921569 0.60784316 0.62352943 0.61960787 0.6156863 0.61960787 0.6313726 0.61960787 0.62352943 0.6156863 0.5882353 0.6117647 0.4745098 0.44705883 0.4117647 0.40392157 0.40392157 0.39215687 0.36862746 0.36862746 0.35686275 0.3254902 0.2901961 0.24313726 0.1882353 0.15686275 0.12156863 0.10196079] Instance: 5 ============ [0. 0. 0. 0.00392157 0.00784314 0.01176471 0.01176471 0.01960784 0.02745098 0.03529412 0.04705882 0.05490196 0.06666667 0.07843138 0.09019608 0.09411765 0.10196079 0.11372549 0.13333334 0.15686275 0.15294118 0.16470589 0.19607843 0.21176471 0.19607843 0.39607844 0.52156866 0.41568628 0.39215687 0.39215687 0.40784314 0.40392157 0.40784314 0.39607844 0.4117647 0.38431373 0.39215687 0.35686275 0.42745098 0.40392157 0.47843137 0.54509807 0.49019608 0.34901962 0.27450982 0.28627452 0.2784314 0.27058825 0.25490198 0.25882354 0.27450982 0.2509804 0.22745098 0.21568628 0.2 0.14509805 0.09411765 0.07843138 0.05882353 0.04313726 0.03921569 0.03921569 0.00392157 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.00392157 0.05098039 0.07843138 0.10196079 0.14509805 0.16862746 0.19607843 0.19215687 0.24705882 0.3372549 0.45882353 0.53333336 0.5568628 0.58431375 0.60784316 0.63529414 0.6431373 0.6666667 0.7647059 0.8 0.8117647 0.8039216 0.8039216 0.8117647 0.80784315 0.8039216 0.8156863 0.8117647 0.8039216 0.8117647 0.83137256 0.8156863 0.8156863 0.8039216 0.8117647 0.8039216 0.8117647 0.80784315 0.8156863 0.8235294 0.827451 0.8392157 0.83137256 0.8352941 0.83137256 0.83137256 0.8235294 0.8235294 0.83137256 0.83137256 0.8235294 0.76862746 0.7490196 0.75686276 0.74509805 0.7254902 0.7019608 0.6901961 0.65882355 0.627451 0.5921569 0.57254905 0.5058824 0.3647059 0.2784314 0.26666668 0.25490198 0.20784314 0.23137255 0.22352941 0.19215687 0.11372549 0.11764706 0.07450981 0.08627451 0.04705882 0.03137255 0. 0. 0.02352941 0.07450981 0.10196079 0.09803922 0.10980392 0.10588235 0.10980392 0.1254902 0.1254902 0.14509805 0.23529412 0.27450982 0.25882354 0.2784314 0.28627452 0.3019608 0.29803923 0.3019608 0.32156864 0.30588236 0.29411766 0.29803923 0.40392157 0.57254905 0.44705883 0.43137255 0.4117647 0.42745098 0.43137255 0.39607844 0.40392157 0.43137255 0.4117647 0.4392157 0.43137255 0.43137255 0.4509804 0.48235294 0.24313726 0.20784314 0.19607843 0.18039216 0.18039216 0.16078432 0.15294118 0.12941177 0.11764706 0.10588235 0.08627451 0.06666667 0.05490196 0.03921569 0.01960784 0.01568628 0.00784314 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] Instance: 6 ============ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.02352941 0.01960784 1. 0.02352941 0.02745098 0.06666667 0.07450981 0.07843138 0.09019608 0.08627451 0.10196079 0.10980392 0.11764706 0.11372549 0.11764706 1. 0.02745098 0.11764706 0.24313726 0.2784314 0.9882353 0.3529412 0.30980393 0.35686275 0.36862746 0.38431373 0.41960785 0.43137255 0.48235294 0.49411765 0.49803922 0.5176471 0.53333336 0.5411765 0.5647059 0.6039216 0.6156863 0.654902 0.6745098 0.7058824 0.69803923 0.7176471 0.72156864 0.70980394 0.7411765 0.7490196 0.7490196 0.7411765 0.7529412 0.7490196 0.7607843 0.7529412 0.76862746 0.7607843 0.7647059 0.7647059 0.78039217 0.77254903 0.76862746 0.77254903 0.7764706 0.75686276 0.75686276 0.7647059 0.7647059 0.7607843 0.7411765 0.73333335 0.7529412 0.76862746 0.7647059 0.7490196 0.7529412 0.73333335 0.7058824 0.72156864 0.7254902 0.70980394 0.7294118 0.7254902 0.69411767 0.6862745 0.68235296 0.68235296 0.7058824 0.7058824 0.69803923 0.68235296 0.6862745 0.6862745 0.68235296 0.68235296 0.68235296 0.6901961 0.69411767 0.6862745 0.6745098 0.6509804 0.64705884 0.62352943 0.59607846 0.5529412 0.5568628 0.54901963 0.5411765 0.54509807 0.53333336 0.5294118 0.53333336 0.5411765 0.5294118 0.5254902 0.5294118 0.52156866 0.5176471 0.5176471 0.5019608 0.5176471 0.49411765 0.47843137 0.4745098 0.49019608 0.4627451 0.47058824 0.44705883 0.44705883 0.44313726 0.42352942 0.41568628 0.40784314 0.4 0.40784314 0.38431373 0.38039216 0.36862746 0.35686275 0.33333334 0.30980393 0.30588236 0.29803923 0.27450982 0.25882354 0.24705882 0.23137255 0.23921569 0.22352941 0.23137255 0.21176471 0.2 0.1764706 0.16078432 0.15686275 0.14509805 0.13333334 0.12941177 0.1254902 0.11764706 0.11764706 0.1254902 0.11764706 0.14509805 0.1882353 0.2 0.19607843 0.19607843 0.1882353 0.24705882 0.24705882 0.25882354 0.23529412 0.23137255 0.1764706 0.13725491 0.10980392 0.10196079 0.09411765 0.08235294 0.07058824 0.0627451 0.05490196 0.05490196 0.05490196 0.05098039 0.03529412 0.04705882 0.04705882 0.04705882 0.04705882 0.03529412 0.03529412 0.03529412 0.03529412 0.03921569 0.03921569 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.03137255 0.02745098 0.03529412 0.03529412 0.03529412 0.02745098 0.02745098 0.02352941 0.02352941 0.02352941 0.02352941 0.02352941 0.02352941] Instance: 7 ============ [0.25490198 0.2627451 0.2627451 0.27058825 0.25882354 0.24705882 0.24705882 0.25490198 0.27058825 0.1882353 0.08627451 0.972549 0.22745098 0.24313726 0.2509804 0.25490198 0.2509804 0.2509804 0.24705882 0.2509804 0.23529412 0.23921569 1. 0.12941177 0.2509804 0.24313726 0.63529414 0.16862746 0.23529412 0.2509804 0.2509804 0.23921569 0.24313726 0.23529412 0.24313726 0.23921569 0.2509804 0.23921569 0.24705882 0.24313726 0.23921569 0.23529412 0.23921569 0.23921569 0.22745098 0.23529412 0.24313726 0.23529412 0.22745098 0.21960784 0.21960784 0.22352941 0.21568628 0.21568628 0.21176471 0.21960784 0.30980393 0.34117648 0.34509805 0.35686275 0.38431373 0.38431373 0.40784314 0.42352942 0.42745098 0.47058824 0.5803922 0.61960787 0.6392157 0.627451 0.6509804 0.67058825 0.6862745 0.7176471 0.7294118 0.7137255 0.7019608 0.7058824 0.7058824 0.70980394 0.72156864 0.7137255 0.73333335 0.7294118 0.7372549 0.7294118 0.73333335 0.76862746 0.7607843 0.7490196 0.7372549 0.7529412 0.76862746 0.7647059 0.7529412 0.7529412 0.7529412 0.74509805 0.75686276 0.7647059 0.7607843 0.7607843 0.75686276 0.7607843 0.7490196 0.7411765 0.74509805 0.7529412 0.7607843 0.7647059 0.75686276 0.75686276 0.77254903 0.7882353 0.78039217 0.8039216 0.79607844 0.78431374 0.76862746 0.7647059 0.8039216 0.76862746 0.78039217 0.77254903 0.78039217 0.7921569 0.78431374 0.79607844 0.7921569 0.79607844 0.78431374 0.8039216 0.7764706 0.76862746 0.78431374 0.78431374 0.76862746 0.7764706 0.76862746 0.78431374 0.7647059 0.7647059 0.75686276 0.7647059 0.7529412 0.7529412 0.7607843 0.7647059 0.7764706 0.8156863 0.8039216 0.7921569 0.7764706 0.78039217 0.8117647 0.8235294 0.8117647 0.81960785 0.8352941 0.83137256 0.8117647 0.7764706 0.8 0.8 0.80784315 0.8 0.79607844 0.8039216 0.78431374 0.76862746 0.73333335 0.7372549 0.7372549 0.7372549 0.7372549 0.7019608 0.6862745 0.7058824 0.72156864 0.7254902 0.7058824 0.7058824 0.72156864 0.6745098 0.65882355 0.6666667 0.6627451 0.654902 0.65882355 0.64705884 0.64705884 0.62352943 0.61960787 0.6039216 0.5921569 0.56078434 0.5411765 0.52156866 0.4627451 0.34901962 0.34901962 0.36862746 0.3529412 0.36862746 0.36862746 0.3764706 0.37254903 0.3764706 0.37254903 0.37254903 0.38039216 0.3764706 0.36862746 0.38039216 0.38039216 0.3764706 0.39215687 0.37254903 0.38431373 0.3764706 0.39215687 0.38431373 0.3647059 0.3764706 ]
# resize data for deep learning
image_width = 224
image_height = 224
input_training_data = normalized_training_data.reshape(-1, image_width, image_height, 1)
output_training_label = np.array(output_training_label)
input_testing_data = normalized_testing_data.reshape(-1, image_width, image_height, 1)
output_testing_label = np.array(output_testing_label)
input_validation_data = normalized_validation_data.reshape(-1, image_width, image_height, 1)
output_validation_label = np.array(output_validation_label)
'''
/*----------------------------- CREATE CNN MODEL -------------
| Function : create_model()
| Purpose : To Create CNN Model Architecture using Keras Library
|
| Arguments :
| input_dimension: Dimension of Input Images
| hidden_layer_activation: activation of hidden layer (relu/tanh/sigmoid)
| output_layer_activation: activation of output layer (sigmoid/softmax)
| output_unit: Number of unit in output layer
| Return :
| model: built CNN model
*----------------------------------------------------------------*/
'''
def create_model(input_dimension,hidden_layer_activation,output_layer_activation,output_unit):
model = Sequential()
model.add(Conv2D(32 , (3,3) , strides = 1 , padding = 'same' , activation = hidden_layer_activation , input_shape = input_dimension))
model.add(BatchNormalization())
model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))
model.add(Conv2D(64 , (3,3) , strides = 1 , padding = 'same' , activation = hidden_layer_activation))
model.add(Dropout(0.1))
model.add(BatchNormalization())
model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))
model.add(Conv2D(64 , (3,3) , strides = 1 , padding = 'same' , activation = hidden_layer_activation))
model.add(BatchNormalization())
model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))
model.add(Conv2D(128 , (3,3) , strides = 1 , padding = 'same' , activation = hidden_layer_activation))
model.add(Dropout(0.2))
model.add(BatchNormalization())
model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))
model.add(Conv2D(256 , (3,3) , strides = 1 , padding = 'same' , activation = hidden_layer_activation))
model.add(Dropout(0.2))
model.add(BatchNormalization())
model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))
model.add(Flatten())
model.add(Dense(units = 128 , activation = hidden_layer_activation))
model.add(Dropout(0.2))
model.add(Dense(output_unit , activation = output_layer_activation))
return model
'''
/*---------------- INITIALIZE_PARAMETERS ------------------
'''
input_dimension = (image_width,image_height,1)
hidden_layer_activation = 'relu'
output_layer_activation = 'sigmoid'
output_unit = 1
number_of_epochs = 15
learning_rate = 1e-4
model = create_model(input_dimension,hidden_layer_activation,output_layer_activation,output_unit)
model.compile(optimizer = Adam(lr=learning_rate) , loss = 'binary_crossentropy' , metrics = ['accuracy'])
model.summary()
Model: "sequential_1" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_5 (Conv2D) (None, 224, 224, 32) 320 _________________________________________________________________ batch_normalization_5 (Batch (None, 224, 224, 32) 128 _________________________________________________________________ max_pooling2d_5 (MaxPooling2 (None, 112, 112, 32) 0 _________________________________________________________________ conv2d_6 (Conv2D) (None, 112, 112, 64) 18496 _________________________________________________________________ dropout_4 (Dropout) (None, 112, 112, 64) 0 _________________________________________________________________ batch_normalization_6 (Batch (None, 112, 112, 64) 256 _________________________________________________________________ max_pooling2d_6 (MaxPooling2 (None, 56, 56, 64) 0 _________________________________________________________________ conv2d_7 (Conv2D) (None, 56, 56, 64) 36928 _________________________________________________________________ batch_normalization_7 (Batch (None, 56, 56, 64) 256 _________________________________________________________________ max_pooling2d_7 (MaxPooling2 (None, 28, 28, 64) 0 _________________________________________________________________ conv2d_8 (Conv2D) (None, 28, 28, 128) 73856 _________________________________________________________________ dropout_5 (Dropout) (None, 28, 28, 128) 0 _________________________________________________________________ batch_normalization_8 (Batch (None, 28, 28, 128) 512 _________________________________________________________________ max_pooling2d_8 (MaxPooling2 (None, 14, 14, 128) 0 _________________________________________________________________ conv2d_9 (Conv2D) (None, 14, 14, 256) 295168 _________________________________________________________________ dropout_6 (Dropout) (None, 14, 14, 256) 0 _________________________________________________________________ batch_normalization_9 (Batch (None, 14, 14, 256) 1024 _________________________________________________________________ max_pooling2d_9 (MaxPooling2 (None, 7, 7, 256) 0 _________________________________________________________________ flatten_1 (Flatten) (None, 12544) 0 _________________________________________________________________ dense_2 (Dense) (None, 128) 1605760 _________________________________________________________________ dropout_7 (Dropout) (None, 128) 0 _________________________________________________________________ dense_3 (Dense) (None, 1) 129 ================================================================= Total params: 2,032,833 Trainable params: 2,031,745 Non-trainable params: 1,088 _________________________________________________________________
'''
/*----------------------------- CALCULATE_ACCURACY -------------
| Function : calculate_accuracy()
| Purpose : Calculate accuracy score
| Arguments :
| input_testing_data : Feature vector of test Data
| output_testing_label : Actual Output Labels
| Return :
| test_accuracy : Accuracy score
*------------------------------------------------------------*/
'''
def calculate_accuracy(input_testing_data, output_testing_label):
predictions=model.predict(input_testing_data)
predicted_output=np.argmax(predictions,axis=1)
test_loss, test_accuracy = model.evaluate(input_testing_data, output_testing_label, verbose = 0)
return test_accuracy
'''
/*----------------------------- EPOCH_TIME_CALCULATION -------------
| Function : epoch_time()
| Purpose : Calculate time elapsed in each epoch
| Arguments :
| start_time : Time when an epoch's execution starts
| end_time : Time when an epoch's execution end
| Return :
| elapsed_mins : Time consumed by one epoch in minutes
| elapsed_secs : Time consumed by one epoch in seconds
*---------------------------------------------------------*/
'''
def epoch_time(start_time, end_time):
elapsed_time = end_time - start_time # Time elapsed by one epoch
elapsed_mins = int(elapsed_time / 60) # Convert time in minutes
elapsed_secs = int(elapsed_time - (elapsed_mins * 60)) # Convert time in seconds
return elapsed_mins, elapsed_secs
history = model.fit(input_training_data,output_training_label,epochs=number_of_epochs,validation_data=(input_validation_data,output_validation_label),verbose=1)
Epoch 1/15 3/3 [==============================] - 6s 2s/step - loss: 1.5192 - accuracy: 0.5417 - val_loss: 0.6921 - val_accuracy: 0.5000 Epoch 2/15 3/3 [==============================] - 6s 2s/step - loss: 0.3624 - accuracy: 0.8472 - val_loss: 0.6957 - val_accuracy: 0.5000 Epoch 3/15 3/3 [==============================] - 6s 2s/step - loss: 0.1709 - accuracy: 0.9167 - val_loss: 0.7080 - val_accuracy: 0.5000 Epoch 4/15 3/3 [==============================] - 6s 2s/step - loss: 0.2242 - accuracy: 0.9028 - val_loss: 0.7283 - val_accuracy: 0.5000 Epoch 5/15 3/3 [==============================] - 6s 2s/step - loss: 0.0726 - accuracy: 0.9583 - val_loss: 0.7517 - val_accuracy: 0.5000 Epoch 6/15 3/3 [==============================] - 6s 2s/step - loss: 0.0945 - accuracy: 0.9444 - val_loss: 0.7843 - val_accuracy: 0.5000 Epoch 7/15 3/3 [==============================] - 6s 2s/step - loss: 0.0467 - accuracy: 0.9722 - val_loss: 0.8337 - val_accuracy: 0.5000 Epoch 8/15 3/3 [==============================] - 6s 2s/step - loss: 0.0566 - accuracy: 0.9722 - val_loss: 0.8896 - val_accuracy: 0.5000 Epoch 9/15 3/3 [==============================] - 6s 2s/step - loss: 0.0240 - accuracy: 1.0000 - val_loss: 0.9484 - val_accuracy: 0.5000 Epoch 10/15 3/3 [==============================] - 6s 2s/step - loss: 0.0306 - accuracy: 1.0000 - val_loss: 1.0104 - val_accuracy: 0.5000 Epoch 11/15 3/3 [==============================] - 6s 2s/step - loss: 0.0150 - accuracy: 1.0000 - val_loss: 1.0722 - val_accuracy: 0.5000 Epoch 12/15 3/3 [==============================] - 6s 2s/step - loss: 0.0397 - accuracy: 0.9861 - val_loss: 1.1280 - val_accuracy: 0.5000 Epoch 13/15 3/3 [==============================] - 6s 2s/step - loss: 0.0134 - accuracy: 1.0000 - val_loss: 1.1802 - val_accuracy: 0.5000 Epoch 14/15 3/3 [==============================] - 6s 2s/step - loss: 0.0222 - accuracy: 0.9861 - val_loss: 1.2324 - val_accuracy: 0.5000 Epoch 15/15 3/3 [==============================] - 6s 2s/step - loss: 0.0141 - accuracy: 1.0000 - val_loss: 1.2898 - val_accuracy: 0.5000
training_accuracy = history.history['accuracy']
validation_accuracy = history.history['val_accuracy']
training_loss = history.history['loss']
validation_loss = history.history['val_loss']
epochs_range = range(1, len(history.epoch) + 1)
plt.figure(figsize=(15,5))
plt.subplot(1, 2, 1)
plt.plot(epochs_range, training_accuracy, label='Train Set')
plt.plot(epochs_range, validation_accuracy, label='Validation Set')
plt.legend(loc="best")
plt.xlabel('Epochs')
plt.ylabel('Accuracy')
plt.title('Model Accuracy')
plt.subplot(1, 2, 2)
plt.plot(epochs_range, training_loss, label='Train Set')
plt.plot(epochs_range, validation_loss, label='Validation Set')
plt.legend(loc="best")
plt.xlabel('Epochs')
plt.ylabel('Loss')
plt.title('Model Loss')
plt.tight_layout()
plt.show()
'''
/*----------------------------- SAVE_MODEL -------------
| Function : save_model()
| Purpose : Save a trained model on your hard disk
| Arguments :
| drive_path: Path to the directory where the trained model will be saved
| model: model to be saved
| Return :
| Trained model will be saved on hard disk
*---------------------------------------------------------*/
'''
def save_model(drive_path,model):
model.save(drive_path+'/Pneumonia Disease Prediction model.h5')
save_model('/content/drive/MyDrive/Binary Class Pneumonia Classification/Trained Model',model)
'''
/*---------------------------------- LOAD_MODEL -----------------------------------
| Function : load()
| Purpose : Load Saved Model from the Hard disk
| Arguments :
| drive_path: Path to the directory where the trained model have been saved
|
| Return :
| Trained model will be loaded from the hard disk
*---------------------------------------------------------------------------------*/
'''
def load(drive_path):
model=load_model(drive_path+'/Pneumonia Disease Prediction model.h5')
return model
model = load('/content/drive/MyDrive/Binary Class Pneumonia Classification/Trained Model')
print("Model Predictions on Test Data")
print("==============================\n")
predictions=model.predict(input_testing_data)
predicted_output=np.argmax(predictions,axis=1)
print(predicted_output)
Model Predictions on Test Data ============================== [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
accuracy = calculate_accuracy(input_testing_data,output_testing_label)
print("\nEvaluation on Test data= ", accuracy * 100)
Evaluation on Test data= 50.0
"""
given a sklearn confusion matrix (cm), make a nice plot
Arguments
---------
cm: confusion matrix from sklearn.metrics.confusion_matrix
target_names: given classification classes such as [0, 1, 2]
the class names, for example: ['high', 'medium', 'low']
title: the text to display at the top of the matrix
cmap: the gradient of the values displayed from matplotlib.pyplot.cm
see http://matplotlib.org/examples/color/colormaps_reference.html
plt.get_cmap('jet') or plt.cm.Blues
normalize: If False, plot the raw numbers
If True, plot the proportions
Usage
-----
plot_confusion_matrix(cm = cm, # confusion matrix created by
# sklearn.metrics.confusion_matrix
normalize = True, # show proportions
target_names = y_labels_vals, # list of names of the classes
title = best_estimator_name) # title of graph
Citiation
---------
http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
"""
def plot_confusion_matrix(cm,
target_names,
title='Confusion matrix',
cmap=None,
normalize=True):
accuracy = np.trace(cm) / float(np.sum(cm))
misclass = 1 - accuracy
if cmap is None:
cmap = plt.get_cmap('Blues')
plt.figure(figsize=(8, 6))
plt.imshow(cm, interpolation='nearest', cmap=cmap)
plt.title(title)
plt.colorbar()
if target_names is not None:
tick_marks = np.arange(len(target_names))
plt.xticks(tick_marks, target_names, rotation=45)
plt.yticks(tick_marks, target_names)
if normalize:
cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]
thresh = cm.max() / 1.5 if normalize else cm.max() / 2
for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):
if normalize:
plt.text(j, i, "{:0.4f}".format(cm[i, j]),
horizontalalignment="center",
color="white" if cm[i, j] > thresh else "black")
else:
plt.text(j, i, "{:,}".format(cm[i, j]),
horizontalalignment="center",
color="white" if cm[i, j] > thresh else "black")
plt.tight_layout()
plt.ylabel('True label')
plt.xlabel('Predicted label\naccuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, misclass))
plt.show()
confusion_mtx = confusion_matrix(output_testing_label, predicted_output)
cm_plot_labels = ['Normal','Pneumonia']
cm = plot_confusion_matrix(confusion_mtx, target_names = cm_plot_labels, normalize=False)
print(classification_report(output_testing_label,predicted_output))
precision recall f1-score support
0 0.50 1.00 0.67 10
1 0.00 0.00 0.00 10
accuracy 0.50 20
macro avg 0.25 0.50 0.33 20
weighted avg 0.25 0.50 0.33 20
/usr/local/lib/python3.6/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result))
file_path = '/content/drive/MyDrive/Binary Class Pneumonia Classification/Data for Application Phase/pneumonia.jpeg'
input_image = cv2.imread(file_path)
image = cv2.cvtColor(input_image, cv2.COLOR_RGB2GRAY)
image = cv2.resize(image, (image_width, image_height))
image = np.array(image)
print(image)
image = image.astype('float32')
image= image/ 255
print(image)
image = image.reshape(-1, image_width, image_height, 1)
[[ 26 32 30 ... 19 30 42] [ 21 34 37 ... 26 28 42] [108 33 40 ... 27 31 40] ... [ 19 19 18 ... 32 33 33] [ 19 19 18 ... 32 32 33] [ 19 19 18 ... 32 32 31]] [[0.10196079 0.1254902 0.11764706 ... 0.07450981 0.11764706 0.16470589] [0.08235294 0.13333334 0.14509805 ... 0.10196079 0.10980392 0.16470589] [0.42352942 0.12941177 0.15686275 ... 0.10588235 0.12156863 0.15686275] ... [0.07450981 0.07450981 0.07058824 ... 0.1254902 0.12941177 0.12941177] [0.07450981 0.07450981 0.07058824 ... 0.1254902 0.1254902 0.12941177] [0.07450981 0.07450981 0.07058824 ... 0.1254902 0.1254902 0.12156863]]
model = load('/content/drive/MyDrive/Binary Class Pneumonia Classification/Trained Model')
image = np.expand_dims(image, axis=-1)
prediction = (model.predict(image) > 0.5).astype("int32")
WARNING:tensorflow:5 out of the last 7 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7ff76979a378> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.
if prediction == 0:
print('\033[1m',"\n\nTrained Model Prediction")
print('\033[1m',"+","="*30,"+")
print('\033[1m',"|"," "*30,"|\n Class : Normal \n","| |")
print('\033[1m',"+","="*30,"+")
plt.imshow(input_image, cmap = 'gray', interpolation = 'bicubic')
plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
plt.show()
else:
print('\033[1m',"\n\nTrained Model Prediction")
print('\033[1m',"+","="*30,"+")
print('\033[1m',"|"," "*30,"|\n Class : Pneumonia \n","| |")
print('\033[1m',"+","="*30,"+")
plt.imshow(input_image, cmap = 'gray', interpolation = 'bicubic')
plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
plt.show()
Trained Model Prediction + ============================== + | | Class : Pneumonia | | + ============================== +
A Two Step Process